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cs.MA2026
Coordination Matters: Process-Aware Evaluation of Cooperative Multi-Agent Reinforcement Learning
Maria Ana Cardei, Matthew Landers, Afsaneh Doryab
Cooperative multi-agent reinforcement learning (MARL) benchmarks commonly emphasize aggregate outcomes such as return, success rate, or completion time. While essential, these metr…
cs.LG2026
Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization
Matthew Landers, Taylor W. Killian, Thomas Hartvigsen +1
Reinforcement learning in discrete combinatorial action spaces requires searching over exponentially many joint actions to simultaneously select multiple sub-actions that form cohe…