3 citations · 8 across the 8 of their papers we have counts for
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cs.LG2026
Heterogeneous Agent Collaborative Reinforcement Learning
Zhixia Zhang, Zixuan Huang, Gongxun Li +10
We introduce Heterogeneous Agent Collaborative Reinforcement Learning (HACRL), a new Reinforcement Learning from Verifiable Reward (RLVR) problem that addresses the inefficiencies…
cs.LG2022★ 3 cited
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning
Xiaoteng Ma, Shuai Ma, Li Xia +1
Keeping risk under control is often more crucial than maximizing expected rewards in real-world decision-making situations, such as finance, robotics, autonomous driving, etc. The…
cs.LG2019
Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping
Shuai Ma, Jia Yuan Yu
Variance plays a crucial role in risk-sensitive reinforcement learning, and most risk measures can be analyzed via variance. In this paper, we consider two law-invariant risks as e…