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ray/rllib/utils/timer.py

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[rllib] Enable performance metrics reporting for RLlib pipelines, add A3C (#7299)
2020-02-28 16:44:17 -08:00
from ray.util.timer import _Timer
[rllib] Refactor DQN to use an Evaluator abstraction (#1276) This introduces rllib.Evaluator and rllib.Optimizer classes. Optimizers encapsulate a particular distributed optimization strategy for RL. Evaluators encapsulate the model graph, and once implemented, any Optimizer may be "plugged in" to any algorithm that implements the Evaluator interface.
2017-12-06 17:51:57 -08:00
[rllib] Enable performance metrics reporting for RLlib pipelines, add A3C (#7299)
2020-02-28 16:44:17 -08:00
TimerStat = _Timer # backwards compatibility alias
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