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[00:00] Introduction to the idea that reasoning and agents are similar.
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Classroom Contents
Training Agentic Reasoners - Reinforcement Learning for Multi-Turn Tool Calling
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- 1 [00:00] Introduction to the idea that reasoning and agents are similar.
- 2 [01:05] The growing effectiveness of Reinforcement Learning RL in AI.
- 3 [03:04] The complexities and challenges of implementing RL.
- 4 [04:41] The connection between popular AI products agents and RL fine-tuning.
- 5 [07:18] The core process of Reinforcement Learning.
- 6 [10:21] The importance of tools and real-world tasks for agents.
- 7 [12:13] The problem of "reward hacking" and how to design better evaluations.
- 8 [14:51] Future directions for agentic systems and a practical toolkit for implementation.
