ray/rllib/agents/impala/__init__.py

from ray.rllib.agents.impala.impala import ImpalaTrainer, DEFAULT_CONFIG

__all__ = ["ImpalaTrainer", "DEFAULT_CONFIG"]
[rllib] Rename Agent to Trainer (#4556) 2019-04-07 00:36:18 -07:00			`from ray.rllib.agents.impala.impala import ImpalaTrainer, DEFAULT_CONFIG`
[rllib] Basic IMPALA implementation (using deepmind's reference vtrace.py) (#2504) Rename AsyncSamplesOptimizer -> AsyncReplayOptimizer Add AsyncSamplesOptimizer that implements the IMPALA architecture integrate V-trace with a3c policy graph audit V-trace integration benchmark compare vs A3C and with V-trace on/off PongNoFrameskip-v4 on IMPALA scaling from 16 to 128 workers, solving Pong in <10 min. For reference, solving this env takes ~40 minutes for Ape-X and several hours for A3C. 2018-08-01 20:53:53 -07:00
[RLlib] Add @Deprecated decorator to simplify/unify deprecation of classes, methods, functions. (#17530) 2021-08-03 18:30:02 -04:00			`__all__ = ["ImpalaTrainer", "DEFAULT_CONFIG"]`