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Found 3 papers, 1 papers with code
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
Hyperparameter optimization plays a key role in the machine learning domain.
Evolutionary Reinforcement Learning: A Survey
This article presents a comprehensive survey of state-of-the-art methods for integrating EC into RL, referred to as evolutionary reinforcement learning (EvoRL).
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
In comparison with the state-of-the-art RLlib, we empirically demonstrate the unique advantages of Lamarckian on benchmark tests with up to 6000 CPU cores: i) both the sampling efficiency and training speed are doubled when running PPO on Google football game; ii) the training speed is 13 times faster when running PBT+PPO on Pong game.
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