1 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Improving Online Reinforcement Learning via Bidirectional Behavior Prior Distillation
Gong Gao, Xiao Lai, Jiaji Shen +3
Online reinforcement learning (RL) algorithms frequently exhibit poor sample efficiency and unstable learning dynamics, stemming from systematic critic estimation errors that are e…
Improving Generalization and Robustness in Offline Reinforcement Learning via Boundary-Aware Data Augmentation
Gong Gao, Weidong Zhao, Xianhui Liu
Current offline reinforcement learning (ORL) algorithms tend to overfit the training dataset and exhibit poor in-distribution generalization and robustness performance when deploye…
Collaborative Weighting with Pessimistic Critic for Mitigating Overestimation in Off-Policy Reinforcement Learning
Gong Gao, Xiao Lai, Ziqi Xie +3
Deep off-policy reinforcement learning algorithms for continuous control typically rely on neural value function approximation to guide policy improvement. However, temporal-differ…
Improving Policy Exploitation in Online Reinforcement Learning with Instant Retrospect Action
Gong Gao, Weidong Zhao, Xianhui Liu +1
Existing value-based online reinforcement learning (RL) algorithms suffer from slow policy exploitation due to ineffective exploration and delayed policy updates. To address these…