Aug 13, 2024 · Our method allows LLM agents to learn effectively from both successful and unsuccessful trajectories, thereby improving their generalization in ...
Aug 13, 2024 · In this work we explore improving planning and reasoning capabilities of a web agent, which interacts with a real world website. Our goal is to ...
Aug 13, 2024 · Enter Agent Q, a major milestone for Agents combining search, self-critique, and reinforcement learning to create state-of-the-art autonomous web agents that ...
3 days ago · By analyzing unsuccessful trajectories, Agent Q enhances its reasoning, making it better prepared to handle similar tasks in the future. source.
agentq - advanced reasoning and learning for autonomous AI agents ... this repo also contains an oss implementation of the research paper agent q - thus the name.
Duration: 29:59
Posted: Aug 15, 2024
Posted: Aug 15, 2024
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Aug 14, 2024 · The framework aims to enhance the reasoning capabilities and decision-making reliability of LLM agents in real-world applications. Key methods ...
Aug 19, 2024 · The “Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents” research paper represents a significant milestone in the development ...
Aug 13, 2024 · The blog introduces "Agent Q," a next-generation AI agent with advanced planning and self-healing capabilities. It addresses challenges in ...
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents. September 15, 2024. Thanks for exploring our member area. This is member only content.