2 papers
cs.LG2026
Adaptive -Aid for Conditional Supervised Learning in Offline Reinforcement Learning
Jeonghye Kim, Suyoung Lee, Woojun Kim +1
Offline reinforcement learning (RL) has progressed with return-conditioned supervised learning (RCSL), but its lack of stitching ability remains a limitation. We introduce -Aide…
cs.MA2026
Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization
Seongmin Kim, Giseung Park, Woojun Kim +3
In this paper, we propose a novel framework for multi-agent reinforcement learning that enhances sample efficiency and coordination through accurate per-agent advantage estimation.…