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#Policy Entropy

Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning

Futing Wang, Jianhao Yan et al.Feb 12arXiv

The paper teaches language models to explore more ideas while thinking, so they can solve harder problems.

#In-Context Exploration#Test-Time Scaling#Chain-of-Thought

JustRL: Scaling a 1.5B LLM with a Simple RL Recipe

Bingxiang He, Zekai Qu et al.Dec 18arXiv

JustRL shows that a tiny, steady recipe for reinforcement learning (RL) can make a 1.5B-parameter language model much better at math without fancy tricks.

#Reinforcement Learning#GRPO#Policy Entropy