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Commits on May 13, 2022

• [RLlib] QMix TrainerConfig objects. (ray-project#24775)

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Commits on May 10, 2022

• [RLlib] SlateQ config objects. (ray-project#24577)

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• [RLlib] IMPALAConfig small fix (double defined config key). (ray-project#24547)

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• [RLlib] Dreamer ConfigObject class. (ray-project#24650)

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• [RLlib] AlphaStar config objects. (ray-project#24576)

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Commits on May 6, 2022

• [RLlib] MADDPG: Move into agents folder (from contrib) and use training_iteration method. (ray-project#24502)

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• [RLlib] Remove execution_plan API code no longer needed. (ray-project#24501)

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• [RLlib] SlateQ + tf; release test fixes, related to TD-error not properly being formatted. (ray-project#24521)

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Commits on May 5, 2022

• [RLlib] Provide more time for APPO Pong release and performance tests. (ray-project#24503)

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Commits on May 4, 2022

• [RLlib] Feed all values in COMMON_CONFIG directly from TrainerConfig() (removes duplicate values and comments). (ray-project#24433)

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• [RLlib] SlateQ fixes: Release learning tests wrong yaml structure + TD-error torch issue (ray-project#24429)

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Commits on May 3, 2022

• [RLlib] R2D2 training iteration fn AND switch off execution_plan API by default. (ray-project#24165)

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Commits on May 2, 2022

• [RLlib] OPE (off policy estimator) API. (ray-project#24384)

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• [RLlib] Issue 24075: Better error message for Bandit MultiDiscrete (suggest using our wrapper). (ray-project#24385)

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• [RLlib] Issue 24082: WorkerSet.policies_to_train (deprecated) - if still used - returns wrong values. (ray-project#24386)

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• [RLlib] Issue 24074: multi-GPU learner thread key error in MA-scenarios. (ray-project#24382)

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• Issue 24143: Some f-strings missing f. (ray-project#24383)

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• [RLlib] ES + ARS TrainerConfig objects. (ray-project#24374)

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• [RLlib] APPO TrainerConfig objects. (ray-project#24376)

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• [RLlib] Deprecate timesteps_per_iteration config key (in favor of min_[sample|train]_timesteps_per_reporting. (ray-project#24372)

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• [RLlib] IMPALA TrainerConfig objects. (ray-project#24375)

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Commits on Apr 30, 2022

• [RLlib] A2/3C Config objects (A2CConfig and A3CConfig). (ray-project#24332)

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Commits on Apr 29, 2022

• [RLlib] Fix CQL getting stuck when deprecated timesteps_per_iteration is used (use min_train_timesteps_per_reporting instead). (ray-project#24345)

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• [RLlib] SlateQ training iteration function. (ray-project#24151)

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Commits on Apr 28, 2022

• [RLlib] PGTrainer config object class (PGConfig). (ray-project#24295)

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• [RLlib] Make Max and Kourosh RLlib code owners. (ray-project#24299)

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• [RLlib] Fix AlphaStar for tf2+tracing; smaller cleanups around avoiding to wrap a TFPolicy as_eager() or with_tracing more than once. (ray-project#24271)

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Commits on Apr 27, 2022

• [RLlib] APPO eager fix (APPOTFPolicy gets wrapped as_eager() twice by mistake). (ray-project#24268)

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• [RLlib] QMIX training iteration function and new replay buffer API. (ray-project#24164)

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• [RLlib] Reinstate flakey AlphaStar learning CI test (flakey due to 2 changed, bad config default values). (ray-project#24256)

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Commits on Apr 26, 2022

• [RLlib] CQL: training iteration function. (ray-project#24166)

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Commits on Apr 21, 2022

• [RLlib] Issue 22943: PettingZoo parallel should not use env checking (for now). (ray-project#24025)

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Commits on Apr 19, 2022

• [RLlib] Issue 23897: add_time_dimension() causes returned shape to be completely unknown. (ray-project#24006)

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• [RLlib] Issue 23907: SampleBatch.shuffle does not flush intercepted_values dict (which it should). (ray-project#24005)

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• [RLlib] DD-PPO training iteration fn (ray-project#23906)

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