Pengyi Li

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space

LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search

CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning

R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models