14 citations · 25 across the 6 of their papers we have counts for
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cs.LG2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
Hui Bai, Ran Cheng
Hyperparameter optimization plays a key role in the machine learning domain. Its significance is especially pronounced in reinforcement learning (RL), where agents continuously int…
cs.LG2023★ 10 cited
Rethinking Population-assisted Off-policy Reinforcement Learning
Bowen Zheng, Ran Cheng
While off-policy reinforcement learning (RL) algorithms are sample efficient due to gradient-based updates and data reuse in the replay buffer, they struggle with convergence to lo…
cs.LG2022★ 1 cited
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
Hui Bai, Ruimin Shen, Yue Lin +2
Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance platform endowing composability and massive par…