Echo framework enables experience transfer for multimodal LLM agents in Minecraft by decomposing knowledge into structure, attribute, process, function, and interaction dimensions and applying in-context analogy learning, achieving 1.3x-1.7x speedup on object-unlocking tasks with burst-like chain-un
Toward energy-efficient spike-based deep reinforce- ment learning with temporal coding.IEEE Computational Intelligence Magazine, 20(2):45–57
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Experience Transfer for Multimodal LLM Agents in Minecraft Game
Echo framework enables experience transfer for multimodal LLM agents in Minecraft by decomposing knowledge into structure, attribute, process, function, and interaction dimensions and applying in-context analogy learning, achieving 1.3x-1.7x speedup on object-unlocking tasks with burst-like chain-un