Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards

Charles Arnal, Gaëtan Narozniak, Vivien Cabannes +3

Reinforcement learning (RL) is increasingly used to align large language models (LLMs). Off-policy methods offer greater implementation simplicity and data efficiency than on-polic…