How I Study AI - Learn AI Papers & Lectures the Easy Way

Intermediate

Xiaoxuan Wang, Han Zhang et al.Feb 25arXiv

This paper tackles why training AI agents that act over many steps (like browsing the web or moving in a house) often becomes unstable and collapses.

#Agentic Reinforcement Learning#Policy Gradient#Sequence-level Clipping

Intermediate

Kaixuan Fan, Kaituo Feng et al.Jan 29arXiv

The paper teaches AI agents better by grading not just their final answers, but also how they think and use tools along the way.

#Agentic Reinforcement Learning#Reasoning Reward Model#Process Supervision

Intermediate

Zefang Zong, Dingwei Chen et al.Jan 8arXiv

AT2PO is a new way to train AI agents that work in several turns, like asking the web a question, reading the result, and trying again.

#Agentic Reinforcement Learning#Turn-level Optimization#Tree Search

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