12 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.LG2026
PriorZero: Bridging Language Priors and World Models for Decision Making
Junyu Xiong, Yuan Pu, Jia Tang +1
Leveraging the rich world knowledge of Large Language Models (LLMs) to enhance Reinforcement Learning (RL) agents offers a promising path toward general intelligence. However, a fu…
cs.LG2021★ 1 cited
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
Yuan Pu, Shaochen Wang, Xin Yao +1
The performance of deep reinforcement learning methods prone to degenerate when applied to environments with non-stationary dynamics. In this paper, we utilize the latent context r…
cs.AI2021★ 12 cited
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
Yuan Pu, Shaochen Wang, Rui Yang +2
Deep reinforcement learning methods have shown great performance on many challenging cooperative multi-agent tasks. Two main promising research directions are multi-agent value fun…