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20232026
most citedReinforced In-Context Black-Box Optimization

1 citations · 2 across the 4 of their papers we have counts for

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cs.LG2025

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning

Chen-Xiao Gao, Chenyang Wu, Mingjun Cao +3

Behavior regularization, which constrains the policy to stay close to some behavior policy, is widely used in offline reinforcement learning (RL) to manage the risk of hazardous ex…