Abstract: In multimodal learning, multimodal coordinated representation is an important yet challenging issue, which establishes the interaction between different modalities to describe multimodal ...
RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
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Individuals who study and use artificial intelligence (AI) have a unique vantage point navigating -- and redefining -- a world including educational ...
Abstract: Modeling multi-agent learning dynamics has long been a significant research topic. A multi-agent Q-Learning model based on game theory is proposed. In large systems, agents interact using ...