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All SourcesarXiv
#reinforcement learning for LLMs

Experiential Reinforcement Learning

Intermediate
Taiwei Shi, Sihao Chen et al.Feb 15arXiv

This paper teaches AI models to learn like good students: try, think about what went wrong, fix it, and remember the fix.

#Experiential Reinforcement Learning#self-reflection#distillation

GameTalk: Training LLMs for Strategic Conversation

Intermediate
Victor Conchello Vendrell, Max Ruiz Luyten et al.Jan 22arXiv

Large language models usually get judged one message at a time, but many real tasks need smart planning across a whole conversation.

#strategic conversation#reinforcement learning for LLMs#multi-turn dialogue

Diversity or Precision? A Deep Dive into Next Token Prediction

Intermediate
Haoyuan Wu, Hai Wang et al.Dec 28arXiv

The paper shows that teaching a language model with a special “reward-shaped” next-token objective can make later reinforcement learning (RL) work much better.

#next-token prediction#cross-entropy as policy gradient#reward shaping