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README.md
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Trains an autonomous web search agent that navigates the web, gathers relevant content, and learns to summarize and generate responses based on user queries.
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## Overview of the AutonomousWebAgent
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The AutonomousWebAgent is a sophisticated, multi-component search and retrieval agent designed to navigate the web, gather relevant content, and perform summarization and generation based on user queries. This agent integrates reinforcement learning (RL), Monte Carlo Tree Search (MCTS), a
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### Key Components
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Trains an autonomous web search agent that navigates the web, gathers relevant content, and learns to summarize and generate responses based on user queries.
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## Overview of the AutonomousWebAgent
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The AutonomousWebAgent is a sophisticated, multi-component search and retrieval agent designed to navigate the web, gather relevant content, and perform summarization and generation based on user queries. This agent integrates reinforcement learning (RL), Monte Carlo Tree Search (MCTS), a Retrieval Augmented Generation (RAG) Summarizer, and a Hierarchical Reinforcement Learning (HRL) architecture to select, execute, and optimize its actions based on past experiences.
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### Key Components
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