ray/rllib/evaluation
2020-03-13 18:48:41 -07:00
..
__init__.py [RLlib] Move all jenkins RLlib-tests into bazel (rllib/BUILD). (#7178) 2020-02-15 14:50:44 -08:00
episode.py [rllib] Feature/histograms in tensorboard (#6942) 2020-01-30 22:02:53 -08:00
interface.py Remove future imports (#6724) 2020-01-09 00:15:48 -08:00
metrics.py [rllib] Support parallel, parameterized evaluation (#6981) 2020-02-01 22:12:12 -08:00
policy_evaluator.py Remove future imports (#6724) 2020-01-09 00:15:48 -08:00
policy_graph.py Remove future imports (#6724) 2020-01-09 00:15:48 -08:00
postprocessing.py [rllib] implemented compute_advantages without gae (#6941) 2020-01-31 22:25:45 -08:00
rollout_metrics.py [rllib] Feature/histograms in tensorboard (#6942) 2020-01-30 22:02:53 -08:00
rollout_worker.py [rllib] First pass at pipeline implementation of DQN (#7433) 2020-03-07 14:47:58 -08:00
sample_batch.py Remove future imports (#6724) 2020-01-09 00:15:48 -08:00
sample_batch_builder.py [RLlib] Issue 7401: In eval mode (if evaluation_episodes > 0), agent hangs if Env does not terminate. (#7448) 2020-03-04 12:58:34 -08:00
sampler.py [RLlib] Bug: If trainer config horizon is provided, should try to increase env steps to that value. (#7531) 2020-03-12 11:03:37 -07:00
tf_policy_graph.py Remove future imports (#6724) 2020-01-09 00:15:48 -08:00
torch_policy_graph.py Remove future imports (#6724) 2020-01-09 00:15:48 -08:00
worker_set.py [rllib] Enable distributed exec api for A2C, A3C, PG by default (#7580) 2020-03-13 18:48:41 -07:00