Fabian Witter
2547055f38
[RLlib] Add support for complex observations in CQL ( #23332 )
2022-03-22 17:04:07 +01:00
Jun Gong
d12977c4fb
[RLlib] TF2 Bandit Agent ( #22838 )
2022-03-21 16:55:55 +01:00
Sven Mika
b1cda46681
[RLlib] SlateQ (tf GPU + multi-GPU) + Bandit fixes ( #23276 )
2022-03-18 13:45:16 +01:00
Siyuan (Ryans) Zhuang
0c74ecad12
[Lint] Cleanup incorrectly formatted strings (Part 1: RLLib). ( #23128 )
2022-03-15 17:34:21 +01:00
Jeroen Bédorf
bc21a4593d
[RLlib] Fix crash when kl_coeff is set to 0 ( #23063 )
...
Co-authored-by: Jeroen Bédorf <jeroen@minds.ai>
Co-authored-by: Ishant Mrinal Haloi <mrinal.haloi11@gmail.com>
Co-authored-by: Ishant Mrinal <33053278+n30111@users.noreply.github.com>
2022-03-11 12:24:52 -08:00
simonsays1980
8627f44d7f
[RLlib] Remove duplicate code block: Config deprecation check for metrics_smoothing_episodes ( #22152 )
2022-03-09 16:51:42 +01:00
Sven Mika
3fe6f3b3eb
[RLlib] 2 bug fixes: Bandit registration not working if torch not installed. Env checker for MA envs. ( #22821 )
2022-03-04 19:16:30 +01:00
Jun Gong
e765915ded
[RLlib] Make sure SlateQ works with GPU. ( #22738 )
2022-03-04 17:49:51 +01:00
Jun Gong
e8be45065e
[RLlib] Restore policies on eval_workers as well. ( #22641 )
2022-03-01 08:38:14 +01:00
Sven Mika
7b687e6cd8
[RLlib] SlateQ: Add a hard-task learning test to weekly regression suite. ( #22544 )
2022-02-25 21:58:16 +01:00
Sven Mika
526fd6b5fb
[RLlib] Issue 22444: KL-coeff not stored in persistent policy state. ( #22590 )
2022-02-24 22:05:36 +01:00
Sven Mika
8e00537b65
[RLlib] SlateQ: framework=tf fixes and SlateQ documentation update ( #22543 )
2022-02-23 13:03:45 +01:00
Sven Mika
6522935291
[RLlib] Slate-Q tf implementation and tests/benchmarks. ( #22389 )
2022-02-22 09:36:44 +01:00
Jun Gong
2b6a0c71d7
[RLlib] Add a callback for when trainer finishes initialization: on_trainer_init. ( #22493 )
2022-02-22 08:18:32 +01:00
Daniel
308ccfe25c
[RLlib] DD-PPO move train_batch_size==-1 check to __init__ ( #22521 )
2022-02-21 11:44:12 +01:00
Sven Mika
c58cd90619
[RLlib] Enable Bandits to work in batches mode(s) (vector envs + multiple workers + train_batch_sizes > 1). ( #22465 )
2022-02-17 22:32:26 +01:00
Avnish Narayan
740def0a13
[RLlib] Put env-checker on critical path. ( #22191 )
2022-02-17 14:06:14 +01:00
Sven Mika
5ca6a56e16
[RLlib] Bug fix: eval-workers in offline RL setup have no env, even though eval_config includes env key. ( #22350 )
2022-02-15 09:32:43 +01:00
Steven Morad
5d52b599aa
[RLlib] Fix zero gradients for ppo-clipped vf ( #22171 )
2022-02-15 08:57:18 +01:00
Sven Mika
04a5c72ea3
Revert "Revert "[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test."" ( #18708 )
2022-02-10 13:44:22 +01:00
Sven Mika
44d09c2aa5
[RLlib] Filter.clear_buffer() deprecated (use Filter.reset_buffer() instead). ( #22246 )
2022-02-10 02:58:43 +01:00
Alex Wu
b122f093c1
Revert "[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test." ( #22250 )
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Reverts ray-project/ray#22126
Breaks rllib:tests/test_io
2022-02-09 09:26:36 -08:00
Ishant Mrinal
f0d8b6d701
[RLlib] Fix compute_actions() for Trainer due to missing if prev_actions/rewards is not None checks. ( #22078 )
2022-02-09 09:05:26 +01:00
Balaji Veeramani
31ed9e5d02
[CI] Replace YAPF disables with Black disables ( #21982 )
2022-02-08 16:29:25 -08:00
Sven Mika
ac3e6ab411
[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test. ( #22126 )
2022-02-08 19:04:13 +01:00
Sven Mika
c17a44cdfa
Revert "Revert "[RLlib] AlphaStar: Parallelized, multi-agent/multi-GPU learni…" ( #22153 )
2022-02-08 16:43:00 +01:00
Sven Mika
f6617506a2
[RLlib] Add on_sub_environment_created to DefaultCallbacks class. ( #21893 )
2022-02-04 22:22:47 +01:00
Sven Mika
38d75ce058
[RLlib] Cleanup SlateQ algo; add test + add target Q-net ( #21827 )
2022-02-04 17:01:12 +01:00
SangBin Cho
a887763b38
Revert "[RLlib] AlphaStar: Parallelized, multi-agent/multi-GPU learni… ( #22105 )
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This reverts commit 3f03ef8ba8
2022-02-04 00:54:50 -08:00
Sven Mika
3f03ef8ba8
[RLlib] AlphaStar: Parallelized, multi-agent/multi-GPU learning via league-based self-play. ( #21356 )
2022-02-03 09:32:09 +01:00
Rodrigo de Lazcano
a258f9c692
[RLlib] Neural-MMO keep_per_episode_custom_metrics patch (toward making Neuro-MMO RLlib's default massive-multi-agent learning test environment). ( #22042 )
2022-02-02 17:28:42 +01:00
Jun Gong
87fe033f7b
[RLlib] Request CPU resources in Trainer.default_resource_request() if using dataset input. ( #21948 )
2022-02-02 10:20:37 +01:00
Jun Gong
a55258eb9c
[RLlib] Move bandit example scripts into examples folder. ( #21949 )
2022-02-02 09:20:47 +01:00
Balaji Veeramani
7f1bacc7dc
[CI] Format Python code with Black ( #21975 )
...
See #21316 and #21311 for the motivation behind these changes.
2022-01-29 18:41:57 -08:00
Sven Mika
7fc1683bab
[RLlib] Some more bandit cleanup/tests. ( #21932 )
2022-01-28 12:03:26 +01:00
Jun Gong
8ebc50f844
[RLlib] Issue 21334: Fix APPO when kl_loss is enabled. ( #21855 )
2022-01-27 20:08:58 +01:00
Sven Mika
893536ebd9
[RLlib] Move bandits into main agents folder; Make RecSim adapter more accessible; ( #21773 )
2022-01-27 13:58:12 +01:00
Sven Mika
371fbb17e4
[RLlib] Make policies_to_train more flexible via callable option. ( #20735 )
2022-01-27 12:17:34 +01:00
Jun Gong
099c170ab4
[RLlib] Dataset Reader/Writer for RLlib ( #21808 )
2022-01-26 16:00:46 +01:00
Jun Gong
55f3bcfb2d
[RLlib] Add a logstd term to MARWIL's loss func to encourage exploration. ( #21493 )
2022-01-26 16:00:17 +01:00
Sven Mika
d5bfb7b7da
[RLlib] Preparatory PR for multi-agent multi-GPU learner (alpha-star style) #03 ( #21652 )
2022-01-25 14:16:58 +01:00
Sven Mika
c4636c7c05
[RLlib] Issue 21633: SimpleQ should not use a prio. replay buffer. ( #21665 )
2022-01-20 11:46:25 +01:00
Avnish Narayan
12b087acb8
[RLlib] Base env pre-checker. ( #21569 )
2022-01-18 16:34:06 +01:00
Jun Gong
7517aefe05
[RLlib] Bring back BC and Marwil learning tests. ( #21574 )
2022-01-14 14:35:32 +01:00
Sven Mika
90c6b10498
[RLlib] Decentralized multi-agent learning; PR #01 ( #21421 )
2022-01-13 10:52:55 +01:00
Sven Mika
188324c5c7
[RLlib] Issue 21552: unsquash_action and clip_action (when None) cause wrong actions computed by Trainer.compute_single_action. ( #21553 )
2022-01-12 18:56:51 +01:00
Matti Picus
ec6a33b736
[tune] fixes to allow tune/tests/test_commands.py to run on windows ( #21342 )
...
tune does not run smoothly on Windows. This cleans up some blockers:
- use cross-platform shutils.get_terminal_size instead of Popen(stty)
- somehow Trainer.workers is None at the end of test_commands.py, so the cleanup command was erroring. The error was not fatal, but was printing in the logs.
- if run locally, the log files are all written to the same location, so the rync-based syncing solution is not needed. This is the real fix for issue #20747
2022-01-11 15:57:20 -08:00
Sven Mika
f94bd99ce4
[RLlib] Issue 21044: Improve error message for "multiagent" dict checks. ( #21448 )
2022-01-11 19:50:03 +01:00
Sven Mika
92f030331e
[RLlib] Initial code/comment cleanups in preparation for decentralized multi-agent learner. ( #21420 )
2022-01-10 11:22:55 +01:00
Sven Mika
4eaf70942d
[RLlib] Issue 21297: Ignore PPO KL-loss term completely if kl-coeff == 0.0 to avoid NaN values due to some discrete action probs==0.0 ( #21456 )
2022-01-10 11:22:40 +01:00
