ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning

by [unverified] · free · Last verified 2026-06-22T09:00:02.065Z

Sparse rewards are a major bottleneck in multi-agent reinforcement learning (MARL), where simultaneous learning induces non-stationarity and makes reward design especially delicate. Reward shaping can accelerate learning, but in the multi-agent setting it must preserve the strategic structure of ...