LLM-guided synthesis of reward programs yields higher task returns in cooperative multi-agent RL across Overcooked layouts with interaction bottlenecks.
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A survey of representative reasoning mechanisms, knowledge integration methods, and applications in image understanding, with discussion of future pathways.
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Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
LLM-guided synthesis of reward programs yields higher task returns in cooperative multi-agent RL across Overcooked layouts with interaction bottlenecks.
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Integrating Knowledge and Reasoning in Image Understanding
A survey of representative reasoning mechanisms, knowledge integration methods, and applications in image understanding, with discussion of future pathways.