Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning 事件

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning arXiv:2605.12655v2 Announce Type: replace Abstract: Multi-agent reinforcement learning (MARL) in real-world use cases may need to adapt to external natural language instructions that interrupt ongoing behavior and conflict with long-horizon objectives. However, conditioning rewards on instructions introduces a fundamental failure mode as Bellman updates couple value estimates across instruction contexts, leading to