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

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All SourcesarXiv
#on-policy RL

Scaling Multiagent Systems with Process Rewards

Intermediate
Ed Li, Junyu Ren et al.Jan 30arXiv

This paper teaches AI teams to get better by scoring every move they make, not just the final answer.

#multiagent reinforcement learning#process rewards#AI feedback

Behavior Knowledge Merge in Reinforced Agentic Models

Intermediate
Xiangchi Yuan, Dachuan Shi et al.Jan 20arXiv

The paper solves a big problem: when you merge several reinforcement-learned models, their special skills get watered down by simple averaging.

#reinforcement learning#model merging#task vectors