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a3c
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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ars
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[RLlib] Custom view requirements (e.g. for prev-n-obs) work with compute_single_action and compute_actions_from_input_dict. (#18921)
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2021-09-30 15:03:37 +02:00 |
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cql
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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ddpg
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[Lint] Add flake8-bugbear (#19053)
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2021-10-03 23:24:11 -07:00 |
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dqn
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[RLlib] Fix flakey test_a3c, test_maml, test_apex_dqn. (#19035)
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2021-10-04 13:23:51 +02:00 |
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dreamer
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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es
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[RLlib] DDPPO fixes and benchmarks. (#18390)
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2021-09-08 19:39:01 +02:00 |
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impala
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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maml
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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marwil
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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mbmpo
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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pg
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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ppo
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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qmix
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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sac
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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slateq
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[RLlib] Multi-GPU for tf-DQN/PG/A2C. (#13393)
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2021-03-08 15:41:27 +01:00 |
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tests
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[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879)
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2021-09-30 16:39:05 +02:00 |
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__init__.py
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[RLlib] Fixing Memory Leak In Multi-Agent environments. Adding tooling for finding memory leaks in workers. (#15815)
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2021-05-18 13:23:00 +02:00 |
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callbacks.py
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[RLlib] Add policies arg to callback: on_episode_step (already exists in all other episode-related callbacks) (#18119)
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2021-08-27 16:12:19 +02:00 |
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mock.py
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[Testing] Split RLlib example scripts CI tests into 4 jobs (from 2). (#17331)
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2021-07-26 10:52:55 -04:00 |
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registry.py
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[RLlib] Add @Deprecated decorator to simplify/unify deprecation of classes, methods, functions. (#17530)
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2021-08-03 18:30:02 -04:00 |
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trainer.py
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[RLlib] Custom view requirements (e.g. for prev-n-obs) work with compute_single_action and compute_actions_from_input_dict. (#18921)
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2021-09-30 15:03:37 +02:00 |
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trainer_template.py
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[RLlib] Add support for evaluation_num_episodes=auto (run eval for as long as the parallel train step takes). (#18380)
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2021-09-07 08:08:37 +02:00 |
