waldrojeandEric Liang e4c0843f60 Allow EntropyCoeffSchedule to accept custom schedule (#6158) ...

* modify tf_policy to enable EntropyCoeffSchedule to handle list, and avoid negative values under current implementation

* Update custom_metrics_and_callbacks.py

* Update tf_policy.py

2019-11-14 00:45:43 -08:00

..

__init__.py

[rllib] Try moving RLlib to top level dir (#5324)

2019-08-05 23:25:49 -07:00

dynamic_tf_policy.py

[rllib] Tracing for eager tensorflow policies with tf.function (#5705)

2019-09-17 01:44:20 -07:00

eager_tf_policy.py

[rllib] Don't use flat weights in non-eager mode (#6001)

2019-10-31 15:16:02 -07:00

policy.py

[rllib] Adds eager support with a generic TFEagerPolicy class (#5436)

2019-08-23 14:21:11 +08:00

rnn_sequencing.py

[rllib] Fix rnn shape with multi-dimensional data (#5939)

2019-10-22 11:07:26 -07:00

sample_batch.py

[rllib] Tracing for eager tensorflow policies with tf.function (#5705)

2019-09-17 01:44:20 -07:00

tf_policy_template.py

[rllib] Fix and add test for LR annealing config

2019-11-07 12:17:27 -08:00

tf_policy.py

Allow EntropyCoeffSchedule to accept custom schedule (#6158)

2019-11-14 00:45:43 -08:00

torch_policy_template.py

[rllib] Adds eager support with a generic TFEagerPolicy class (#5436)

2019-08-23 14:21:11 +08:00

torch_policy.py

rllib: use pytorch's fn to see if gpu is available (#5890)

2019-10-12 00:13:00 -07:00