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cs.MA2026
MATES: Learning Multi-Agent Interactions by Transforming Observations for Frozen Single-Agent Policies
Elie Abboud, Oren Gal
Multi-agent reinforcement learning (MARL) commonly trains decentralized policies from scratch, requiring agents to acquire individual task competence and coordination simultaneousl…
cs.MA2026
ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning
Elie Abboud, Oren Gal
Sparse rewards are a major bottleneck in multi-agent reinforcement learning (MARL), where simultaneous learning induces non-stationarity and makes reward design especially delicate…