4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
Chen-Xiao Gao, Shengjun Fang, Chenjun Xiao +2
Offline preference-based reinforcement learning (RL), which focuses on optimizing policies using human preferences between pairs of trajectory segments selected from an offline dat…
cs.LG2023★ 4 cited
Rethinking Decision Transformer via Hierarchical Reinforcement Learning
Yi Ma, Chenjun Xiao, Hebin Liang +1
Decision Transformer (DT) is an innovative algorithm leveraging recent advances of the transformer architecture in reinforcement learning (RL). However, a notable limitation of DT…
cs.LG2023★ 3 cited
The In-Sample Softmax for Offline Reinforcement Learning
Chenjun Xiao, Han Wang, Yangchen Pan +2
Reinforcement learning (RL) agents can leverage batches of previously collected data to extract a reasonable control policy. An emerging issue in this offline RL setting, however,…