Скачать или смотреть Build an Autonomous Research Agent with Self-Correction (RL, Tools & Multi-Agent AI)

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In this advanced AI workshop, you’ll build an autonomous research agent that can self-correct its own mistakes.
This is for intermediate to advanced learners who know basic Python and want to go deeper into AI agents.

You’ll learn how to add self-improvement using reinforcement learning loops, define reward signals, and use feedback to refine the agent’s behaviour. We’ll integrate external tools like web search, document retrieval, and code execution to boost reasoning and research quality. Then we’ll look at multi-agent collaboration patterns and walk through real-world case studies of autonomous research systems.

By the end, you’ll understand the core patterns behind modern autonomous research agents and have a solid starting point to build your own.

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