2 papers
cs.RO2026
Permutation Robustness Is Not Enough: Action Collapse in Multi-Agent Transformer Policies
Amit Thakur, Mukesh Singhal
Transformer policies are attractive for multi-agent robot learning because self-attention can model interactions among agents. However, multi-agent teams are unordered, while trans…
cs.MA2026
Turnover-Orthogonal Credit Assignment for Open-Team Multi-Agent Reinforcement Learning
Amit Thakur, Mukesh Singhal
Open-team multi-agent reinforcement learning studies cooperative systems in which agents may join, leave, or be replaced during an episode. In such settings, the team return change…