2025
LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
This work proposes LaRes, a novel hybrid framework that achieves efficient policy learning through reward function search by leveraging large language models to generate the reward function population, guiding RL in policy learning.
Pengyi Li, Hongyao Tang, Jinbin Qiao et al.
· Advances in Neural Informati... · 4 citations