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Autonomous Vehicle (AV) Motion Planning with Deep RL methods - DQN, PPO | Bayesian Optimization Parameter Search

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Motion Planning for HIGHWAY ENVIRONMENT (Farama)

Highway Environment has following tasks:

  • Highway
  • Merge
  • RoundAbout
  • Parking
  • Intersection
  • Racetrack

We are editing Reward Function in configuration to ascertain better results. Next, we are experimenting with hyparameters for Deep-Q Network (DQN) and Proximal Policy Optimization (PPO) for highest duration, reward, and time travelled

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Autonomous Vehicle (AV) Motion Planning with Deep RL methods - DQN, PPO | Bayesian Optimization Parameter Search

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