Contrastive Variational Reinforcement Learning for Complex Observations. - Xiao Ma 006; Siwei Chen 003; David Hsu; Wee Sun Lee (CoRL, 2020)

DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. - Siwei Chen 003; Xiao Ma 006; David Hsu (CoRR, 2020)

Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. - Xiao Ma 006; Siwei Chen 003; David Hsu; Wee Sun Lee (CoRR, 2020)

Ab Initio Particle-based Object Manipulation. - Siwei Chen 003; Xiao Ma 006; Yunfan Lu; David Hsu (Robotics: Science and Systems, 2021)

Imitation Learning via Differentiable Physics. - Siwei Chen 003; Xiao Ma 006; Zhongwen Xu (CoRR, 2022)

Benchmarking Deformable Object Manipulation with Differentiable Physics. - Siwei Chen 003; Cunjun Yu; Yiqing Xu; Linfeng Li; Xiao Ma 006; Zhongwen Xu; David Hsu (CoRR, 2022)

Imitation Learning as State Matching via Differentiable Physics. - Siwei Chen 003; Xiao Ma 006; Zhongwen Xu (CVPR, 2023)

DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. - Siwei Chen 003; Yiqing Xu; Cunjun Yu; Linfeng Li; Xiao Ma 006; Zhongwen Xu; David Hsu (ICLR, 2023)

DiffMimic: Efficient Motion Mimicking with Differentiable Physics. - Jiawei Ren 001; Cunjun Yu; Siwei Chen 003; Xiao Ma 006; Liang Pan; Ziwei Liu 002 (ICLR, 2023)

LLM-State: Expandable State Representation for Long-horizon Task Planning in the Open World. - Siwei Chen 003; Anxing Xiao; David Hsu (CoRR, 2023)

Differentiable Particles for General-Purpose Deformable Object Manipulation. - Siwei Chen 003; Yiqing Xu; Cunjun Yu; Linfeng Li; David Hsu (CoRR, 2024)