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author
rfal
committedJun 20, 2022
config files for all experiments
1 parent 1bb3fdf commit 61cab8f

18 files changed

+331
-5
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‎.gitignore

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Baselines
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carle_gym/carle.egg-info
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__pycache__
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scripts

‎config/config_A2C_Town01_mlp.json

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{
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"base":{
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"seed": [0,1,2,3,4],
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 1000000
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},

‎config/config_A2C_Town02_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 1000000
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},
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"agent":{
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"name": "A2C",
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"discount": 0.99,
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"alpha": [8e-05],
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"buffer_size": 64
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},
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"environment":{
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"map_name": "Town02",
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"data_dir": "carla_data",
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"start_state": 16,
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"goal_states": [89,90],
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"crosswalk_states": [96],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}

‎config/config_A2C_Town03_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 2000000
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},
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"agent":{
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"name": "A2C",
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"discount": 0.99,
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"alpha": [1e-04],
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"buffer_size": 64
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},
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"environment":{
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"map_name": "Town03",
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"data_dir": "carla_data",
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"start_state": 546,
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"goal_states": [641, 642],
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"crosswalk_states": [585],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}

‎config/config_DQN_Town01_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 1000000
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},
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"agent":{
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"name": "DQN",
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"discount": 0.99,
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"alpha": [1e-04],
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"buffer_size": 2048,
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"batch_size": 64
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},
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"environment":{
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"map_name": "Town01",
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"data_dir": "carla_data",
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"start_state": 209,
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"goal_states": [112, 113],
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"crosswalk_states": [261],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}

‎config/config_DQN_Town02_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 1000000
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},
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"agent":{
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"name": "DQN",
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"discount": 0.99,
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"alpha": [5e-06],
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"buffer_size": 2048,
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"batch_size": 64
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},
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"environment":{
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"map_name": "Town02",
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"data_dir": "carla_data",
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"start_state": 16,
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"goal_states": [89,90],
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"crosswalk_states": [96],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}

‎config/config_DQN_Town03_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 2000000
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},
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"agent":{
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"name": "DQN",
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"discount": 0.99,
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"alpha": [3e-04],
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"buffer_size": 2048,
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"batch_size": 64
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},
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"environment":{
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"map_name": "Town03",
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"data_dir": "carla_data",
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"start_state": 546,
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"goal_states": [641, 642],
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"crosswalk_states": [585],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}

‎config/config_PPO_Town01_mlp.json

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{
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"base":{
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"seed": [0,1,2,3,4],
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 1000000
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},

‎config/config_PPO_Town02_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 1000000
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},
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"agent":{
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"name": "PPO",
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"discount": 0.99,
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"alpha": [3e-04],
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"buffer_size": 2048,
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"batch_size": 64,
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"n_epochs":1
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},
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"environment":{
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"map_name": "Town02",
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"data_dir": "carla_data",
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"start_state": 16,
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"goal_states": [89, 90],
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"crosswalk_states": [96],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}

‎config/config_PPO_Town03_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 2000000
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},
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"agent":{
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"name": "PPO",
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"discount": 0.99,
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"alpha": [2e-04],
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"buffer_size": 2048,
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"batch_size": 64,
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"n_epochs":1
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},
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"environment":{
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"map_name": "Town03",
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"data_dir": "carla_data",
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"start_state": 546,
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"goal_states": [641, 642],
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"crosswalk_states": [585],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}

‎config/config_QRDQN_Town01_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 2000000
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},
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"agent":{
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"name": "QRDQN",
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"discount": 0.99,
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"alpha": [6e-04],
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"buffer_size": 2048,
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"batch_size": 64,
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"n_quantiles": 4,
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"epsilon": 0.1,
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"eps_fraction": 0.02,
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"eval_policy": "Greedy"
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},
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"environment":{
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"map_name": "Town01",
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"data_dir": "carla_data",
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"start_state": 209,
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"goal_states": [112, 113],
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"crosswalk_states": [261],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}
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‎config/config_QRDQN_Town01_robust_rl_ssd.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 1000000
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},
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"agent":{
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"name": "QRDQN",
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"discount": 0.99,
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"alpha": [5e-04],
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"buffer_size": 2048,
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"batch_size": 64,
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"n_quantiles": 4,
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"epsilon": 0.1,
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"eps_fraction": 0.02,
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"eval_policy": "SSD"
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},
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"environment":{
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"map_name": "Town01",
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"data_dir": "carla_data",
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"start_state": 209,
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"goal_states": [112, 113],
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"crosswalk_states": [261],
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"r_base": 3,
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"r_loopback": 18
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},
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"policy": "CnnPolicy",
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"save_dir": "Baselines"
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}
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‎config/config_QRDQN_Town01_robust_rl_thres_ssd.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 1000000
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},
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"agent":{
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"name": "QRDQN",
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"discount": 0.99,
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"alpha": [5e-04],
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"buffer_size": 2048,
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"batch_size": 64,
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"n_quantiles": 4,
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"epsilon": 0.1,
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"eps_fraction": 0.02,
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"eval_policy": "Thresholded_SSD"
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},
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"environment":{
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"map_name": "Town01",
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"data_dir": "carla_data",
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"start_state": 209,
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"goal_states": [112, 113],
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"crosswalk_states": [261],
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"r_base": 3,
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"r_loopback": 18
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},
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"policy": "CnnPolicy",
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"save_dir": "Baselines"
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}
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‎config/config_QRDQN_Town02_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 2000000
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},
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"agent":{
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"name": "QRDQN",
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"discount": 0.99,
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"alpha": [6e-05],
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"buffer_size": 2048,
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"batch_size": 64,
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"n_quantiles": 4,
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"epsilon": 0.1,
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"eps_fraction": 0.02,
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"eval_policy": "Greedy"
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},
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"environment":{
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"map_name": "Town02",
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"data_dir": "carla_data",
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"start_state": 16,
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"goal_states": [89, 90],
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"crosswalk_states": [96],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}
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‎config/config_QRDQN_Town02_robust_rl_greedy.json

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"r_loopback": 18
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},
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"policy": "CnnPolicy",
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"save_dir": "Baselines"
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"save_dir": "/home/rfal/Stochastic_Road_Network/Baselines"
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}
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‎config/config_QRDQN_Town02_robust_rl_ssd.json

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"r_loopback": 18
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},
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"policy": "CnnPolicy",
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"save_dir": "Baselines"
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"save_dir": "/home/rfal/Stochastic_Road_Network/Baselines"
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}
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‎config/config_QRDQN_Town02_robust_rl_thres_ssd.json

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"r_loopback": 18
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},
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"policy": "CnnPolicy",
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"save_dir": "Baselines"
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"save_dir": "/home/rfal/Stochastic_Road_Network/Baselines"
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}
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‎config/config_QRDQN_Town03_mlp.json

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{
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"base":{
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"seed": [0],
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"eval_freq": 10000,
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"num_timesteps": 2000000
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},
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"agent":{
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"name": "QRDQN",
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"discount": 0.99,
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"alpha": [5e-05],
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"buffer_size": 2048,
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"batch_size": 64,
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"n_quantiles": 4,
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"epsilon": 0.1,
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"eps_fraction": 0.02,
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"eval_policy": "Greedy"
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},
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"environment":{
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"map_name": "Town03",
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"data_dir": "carla_data",
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"start_state": 546,
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"goal_states": [641, 642],
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"crosswalk_states": [585],
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"r_base": 1,
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"r_loopback": 0
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},
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"policy": "MlpPolicy",
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"save_dir": "Baselines"
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}
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