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ray/rllib/policy
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Sven Mika 14405b90d5 [RLlib] Prototype of a DynaTrainer (for env dynamics learning in upcoming MBMPO algo). (#8860)
2020-06-16 09:01:20 +02:00
..
tests
[RLlib] Auto-framework, retire use_pytorch in favor of framework=... (#8520)
2020-05-27 16:19:13 +02:00
__init__.py
[rllib] observation function api for multi-agent (#8236)
2020-05-04 22:13:49 -07:00
dynamic_tf_policy.py
[RLlib] Minor rllib.utils cleanup. (#8932)
2020-06-16 08:52:20 +02:00
eager_tf_policy.py
[RLlib] Issue 8412 (Adam vars not stored in ModelV2). (#8480)
2020-06-05 21:07:02 +02:00
policy.py
[RLlib] Add testing Policy.compute_single_action() for all agents. (#8903)
2020-06-13 17:51:50 +02:00
rnn_sequencing.py
[rllib] Flexible multi-agent replay modes and replay_sequence_length (#8893)
2020-06-12 20:17:27 -07:00
sample_batch.py
[rllib] Flexible multi-agent replay modes and replay_sequence_length (#8893)
2020-06-12 20:17:27 -07:00
tf_policy_template.py
[RLlib] Minor rllib.utils cleanup. (#8932)
2020-06-16 08:52:20 +02:00
tf_policy.py
[RLlib] Issue 8412 (Adam vars not stored in ModelV2). (#8480)
2020-06-05 21:07:02 +02:00
torch_policy_template.py
[RLlib] Prototype of a DynaTrainer (for env dynamics learning in upcoming MBMPO algo). (#8860)
2020-06-16 09:01:20 +02:00
torch_policy.py
[RLlib] Prototype of a DynaTrainer (for env dynamics learning in upcoming MBMPO algo). (#8860)
2020-06-16 09:01:20 +02:00
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