← Search

Xianfan Gu

2 accepted papers

2024

Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own

CoRL 2024poster

Reinforcement learning (RL) is a promising approach for solving robotic manipulation tasks. However, it is challenging to apply the RL algorithms directly in the real world. For one thing, RL is data-intensive and typically requires millions of interactions with environments, which are impractical i…

Cited by 25SourceScholar
2024

Seer: Language Instructed Video Prediction with Latent Diffusion Models

ICLR 2024poster

Imagining the future trajectory is the key for robots to make sound planning and successfully reach their goals. Therefore, text-conditioned video prediction (TVP) is an essential task to facilitate general robot policy learning. To tackle this task and empower robots with the ability to foresee the…