ray/rllib/policy
Eric Liang a0dcb45dc3
[rllib] Fix APEX priorities returning zero all the time (#5980)
* fix

* move example tests to end

* level err

* guard against none

* no trace test

* ignore thumbs

* np

* fix multi node

* fix
2019-10-26 13:23:42 -07:00
..
__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] Fix APEX priorities returning zero all the time (#5980) 2019-10-26 13:23:42 -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.py [rllib] Autoregressive action distributions (#5304) 2019-08-10 14:05:12 -07:00
tf_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
torch_policy_template.py [rllib] Adds eager support with a generic TFEagerPolicy class (#5436) 2019-08-23 14:21:11 +08:00