Zifeng Zhuang

Unraveling Max-Return Sequence Modeling via Return Consistency

NFPO: Stabilized Policy Optimization of Normalizing Flow for Robotic Policy Learning

Humanoid-R0: Bridging Text-to-Motion Generation and Physical Deployment via RL

Boundary-to-Region Supervision for Offline Safe Reinforcement Learning

Goal-conditioned Reinforcement Learning with Subgoals Generated from Relabeling

ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning

Memory-Efficient Algorithm Distillation for In-context Reinforcement Learning

Decoupled Offline to Online finetuning via Dynamics Model

Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning

Distribution Corrected Estimation via Adversarial Density Weighted Regression

Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning

Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration

Revisiting the Design Choices in Max-Return Sequence Modeling

Bridging the Gap Beteween SL and TD Learning via Q-conditioned maximization