CoMAM jointly optimizes agents in multi-agent LLM memory systems via end-to-end RL and adaptive credit assignment to improve collaboration and performance.
On the fundamental limitations of decentralized learnable reward shaping in cooperative multi-agent reinforcement learning.CoRR, abs/2511.00034, 2025
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Joint Optimization of Multi-agent Memory System
CoMAM jointly optimizes agents in multi-agent LLM memory systems via end-to-end RL and adaptive credit assignment to improve collaboration and performance.