TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning

Yuhui Chen, Haoran Li, Zhennan Jiang +2

Developing scalable and generalizable reward engineering for reinforcement learning (RL) is crucial for creating general-purpose agents, especially in the challenging domain of rob…