Matthew A. Wright 3131e1742d [rllib] Qmix off by 1 in double Q calculation (#5731) ...

* Qmix fix.

-Current version of double Q learning is incorrect; it selects actions
at timestep t instead of t+1 when computing the t+1 Q value.

* Allow extra obs dict keys

* Move Q-value-computing replay code to own function

* Run the autoformatter

* use better terms in comments ("policy" network instead of "live" network)

2019-09-18 18:12:30 -07:00

..

a3c

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

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

ars

[rllib] Autoregressive action distributions (#5304)

2019-08-10 14:05:12 -07:00

ddpg

[rllib] Revert [rllib] Port DDPG to the build_tf_policy pattern (#5626)

2019-09-04 21:39:22 -07:00

dqn

[rllib] Fix TF2 import of EagerVariableStore (#5625)

2019-09-07 12:10:03 -07:00

es

[rllib] Autoregressive action distributions (#5304)

2019-08-10 14:05:12 -07:00

impala

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

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

marwil

[rllib] Autoregressive action distributions (#5304)

2019-08-10 14:05:12 -07:00

pg

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

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

ppo

[rllib] Validate that entropy coeff is not an integer (#5687)

2019-09-11 14:35:42 -07:00

qmix

[rllib] Qmix off by 1 in double Q calculation (#5731)

2019-09-18 18:12:30 -07:00

sac

[rllib] Revert [rllib] Port DDPG to the build_tf_policy pattern (#5626)

2019-09-04 21:39:22 -07:00

__init__.py

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

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

agent.py

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

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

mock.py

Ray, Tune, and RLlib support for memory, object_store_memory options (#5226)

2019-08-21 23:01:10 -07:00

registry.py

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

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

trainer_template.py

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

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

trainer.py

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

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