Dynamic sAmpling Policy Optimization

New RL methods enhance LLM training stability and efficiency · 7 sources tracked

Researchers have developed several new methods to improve the stability and efficiency of reinforcement learning (RL) in large language models (LLMs). STARE addresses policy entropy collapse by reweighting token-level a…