1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions
Xiao Liu, Jie Zhao, Wubing Chen +2
Despite the impressive capabilities of Deep Reinforcement Learning (DRL) agents in many challenging scenarios, their black-box decision-making process significantly limits their de…
cs.AI2023
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning
Xiao Liu, Wubing Chen, Mao Tan
Deep Reinforcement Learning (DRL) has achieved remarkable success in sequential decision-making problems. However, existing DRL agents make decisions in an opaque fashion, hinderin…
cs.LG2022★ 1 cited
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
Wubing Chen, Wenbin Li, Xiao Liu +2
Cooperative multi-agent policy gradient (MAPG) algorithms have recently attracted wide attention and are regarded as a general scheme for the multi-agent system. Credit assignment…