ray-0.5.3

API

• Add ray.is_initialized() to check if ray.init() has been called. #2818

Fixes and Improvements

• Fix issue in which ray stop fails to kill plasma object store. #2850
• Remove dependence on psutil. #2892

RLlib

• Set better default for VF clip PPO parameter to avoid silent performance degradation. #2921
• Reward clipping should default to off for non-Atari environments. #2904
• Fix LSTM failing to train on truncated sequences. #2898

Tune

• Fixed a small bug in trial pausing and cleaned up error messages. #2815

ray-0.5.2

Breaking Changes

• Local mode has changed from ray.init(driver_mode=ray.PYTHON_MODE) to ray.init(local_mode=True) to improve clarity.

Autoscaler and Cluster Setup

• Added many convenience commands such as ray up, ray attach, ray exec, and ray rsync to simplify launching jobs with Ray.
• Added experimental support for local/on-prem clusters.

RLlib

• Added the IMPALA algorithm.
• Added the ARS algorithm.
• Added the A2C variant of A3C.
• Added support for distributional DQN.
• Made improvements to multiagent support.
• Added support for model-based rollouts and custom policies.
• Added initial set of reference Atari results.

Tune

• SearchAlgorithms can now be used separately from TrialSchedulers and are found in ray.tune.suggest.
• All TrialSchedulers have been consolidated under ray.tune.schedulers.
• Minor API changes:
  • For Experiment configuration, repeat has been renamed to num_samples.
  • Now, register_trainable is handled implicitly.

ray-0.5.0

Bump version to 0.5.0. (#2351)

ray-0.4.0

Bump version to 0.4.0. (#1745)

ray-0.3.1

Bump version to 0.3.1. (#1397)

ray-0.3.0

Bump version number to 0.3.0. (#1247)

ray-0.2.2

update version to 0.2.2 (#1178)

ray-0.2.1

Bump version number to 0.2.1. (#1026)

ray-0.2.0

Bump version to 0.2.0. (#877)