Exploration-Based Trajectory Optimization: Harnessing Success and Failure for Enhanced Autonomous Agent Learning

In artificial intelligence, large language models (LLMs) are a beacon of innovation, ushering in an era where autonomous agents can perform complex tasks with unprecedented precision. These models, including renowned examples like GPT-4, enable agents to plan and execute actions within diverse environments, from web browsing to multi-modal reasoning. Yet, for all their capabilities, a […]

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