2024
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
ECCV 2024poster
"For a general-purpose robot to operate in reality, executing a broad range of instructions across various environments is imperative. Central to the reinforcement learning and planning for such robotic agents is a generalizable reward function. Recent advances in vision-language models, such as CLI…