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Commits on Jun 4, 2022

• [CI; LinkCheck] 3 RLlib fixes. (ray-project#25476)

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• [RLlib] Move all remaining algos into algorithms directory. (ray-project#25366)

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Commits on Jun 3, 2022

• [RLlib] Unflake some CI-tests. (ray-project#25313)

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Commits on Jun 2, 2022

• [RLlib] Move (A/DD)?PPO and IMPALA algos to algorithms dir and rename policy and trainer classes. (ray-project#25346)

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Commits on Jun 1, 2022

• [RLlib] A2C + A3C move to algorithms folder and re-name into A2C/A3C (from ...Trainer). (ray-project#25314)

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Commits on May 31, 2022

• [RLlib] Make Kai (krfricke) RLlib code owner. (ray-project#25315)

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Commits on May 30, 2022

• [RLlib] Apex-DDPG TrainerConfig objects. (ray-project#25279)

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• [RLlib] MB-MPO TrainerConfig objects. (ray-project#25278)

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• [RLlib] MA-DDPG TrainerConfig objects. (ray-project#25255)

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• [RLlib] AlphaZero TrainerConfig objects. (ray-project#25256)

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Commits on May 28, 2022

• [RLlib] Vectorized envs: Gracefully handle sub-environments failing by restarting them (if configured so). (ray-project#24967)

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• [RLlib] A2/3C policy sub-classing schema. (ray-project#25078)

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Commits on May 27, 2022

• [RLlib] Discussion 6060 and 5120: auto-infer different agents' spaces in multi-agent env. (ray-project#24649)

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Commits on May 24, 2022

• [RLlib] MADDPG: Move into main algorithms folder and add proper unit and learning tests. (ray-project#24579)

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• [RLlib] Add @OverrideToImplementCustomLogic decorators to some Trainer class methods. (ray-project#24684)

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Commits on May 23, 2022

• [Serve + RLlib] Fix serve tutorial_rllib for Win. PyGame needs to be installed as of gym==0.23. (ray-project#25080)

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• [RLlib] APEX-DQN and R2D2 config objects. (ray-project#25067)

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• [RLlib] MAML config objects. (ray-project#25066)

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• [RLlib] TD3 config objects. (ray-project#25065)

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• [RLlib] Upgrade gym 0.23 (ray-project#24171)

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Commits on May 22, 2022

• [RLlib] DD-PPO Config objects. (ray-project#25028)

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Commits on May 18, 2022

• [RLlib] Bandit tf2 fix (+ add tf2 to test cases). (ray-project#24908)

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• [RLlib] AlphaZero uses training_iteration API. (ray-project#24507)

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Commits on May 17, 2022

• [RLlib] APPO Training iteration fn. (ray-project#24545)

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Commits on May 16, 2022

• [RLlib] Re-establish dashboard performance tests. (ray-project#24728)

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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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