PLAS: Latent Action Space for Offline Reinforcement Learning. - Wenxuan Zhou 001; Sujay Bajracharya; David Held (CoRL, 2020)

Learning Off-Policy with Online Planning. - Harshit Sikchi; Wenxuan Zhou 001; David Held (CoRL, 2021)

Lyapunov Barrier Policy Optimization. - Harshit Sikchi; Wenxuan Zhou 001; David Held (CoRR, 2021)

Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. - Wenxuan Zhou 001; David Held (CoRL, 2022)

HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. - Wenxuan Zhou 001; Bowen Jiang; Fan Yang; Chris Paxton 001; David Held (CoRL, 2023)

Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. - Wenxuan Zhou 001; Bowen Jiang; Fan Yang; Chris Paxton 001; David Held (CoRR, 2023)

Generalizable Dexterity with Reinforcement Learning - Wenxuan Zhou 001 (2023)

Visual Manipulation with Legs. - Xialin He; Chengjing Yuan; Wenxuan Zhou 001; Ruihan Yang; David Held; Xiaolong Wang 004 (CoRL, 2024)

Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. - Fan Yang; Wenxuan Zhou 001; Zuxin Liu; Ding Zhao; David Held (ICRA, 2024)

HACMan++: Spatially-Grounded Motion Primitives for Manipulation. - Bowen Jiang; Yilin Wu 003; Wenxuan Zhou 001; Chris Paxton 001; David Held (Robotics: Science and Systems, 2024)