YAN ZHENG

Squeeze the Soaked Sponge: Efficient Off-policy RFT for Large Language Model

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

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

The Rank and Gradient Lost in Non-stationarity: Sample Weight Decay for Mitigating Plasticity Loss in Reinforcement Learning

CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis

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

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

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

Generate explorative goals with large language model guidance