Xiao Ma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Object Manipulation

Reinforcement Learning

Top Venues

Robotics: Science and Systems

Publications

Eugene Teoh, Sumit Patidar, Xiao Ma, Stephen James
Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation. CoRR (2024)
Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark. CoRR (2024)
Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James
Redundancy-Aware Action Spaces for Robot Learning. IEEE Robotics Autom. Lett. 9 (8) (2024)
Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. ICLR (2023)
Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan
Offline Prioritized Experience Replay. CoRR (2023)
Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan
Improving and Benchmarking Offline Reinforcement Learning Algorithms. CoRR (2023)
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
Efficient Diffusion Policies For Offline Reinforcement Learning. NeurIPS (2023)
Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR (2023)
Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
Mutual Information Regularized Offline Reinforcement Learning. NeurIPS (2023)
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
Efficient Diffusion Policies for Offline Reinforcement Learning. CoRR (2023)
Jiawei Ren, Cunjun Yu, Siwei Chen, Xiao Ma, Liang Pan, Ziwei Liu
DiffMimic: Efficient Motion Mimicking with Differentiable Physics. ICLR (2023)
Siwei Chen, Xiao Ma, Zhongwen Xu
Imitation Learning as State Matching via Differentiable Physics. CVPR (2023)
Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan
Boosting Offline Reinforcement Learning via Data Rebalancing. CoRR (2022)
Zuowu Zheng, Xiaofeng Gao, Xiao Ma, Guihai Chen
Predicting Hot Events in the Early Period through Bayesian Model for Social Networks. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR (2022)
Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
Mutual Information Regularized Offline Reinforcement Learning. CoRR (2022)
Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. CoRR (2022)
Xiao Ma, David Hsu, Wee Sun Lee
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA (2022)
Siwei Chen, Xiao Ma, Zhongwen Xu
Imitation Learning via Differentiable Physics. CoRR (2022)
Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu
Ab Initio Particle-based Object Manipulation. CoRR (2021)
Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu
Ab Initio Particle-based Object Manipulation. Robotics: Science and Systems (2021)
Xiao Ma, David Hsu, Wee Sun Lee
Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR (2021)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR (2020)
Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Recurrent Neural Networks. AAAI (2020)
Siwei Chen, Xiao Ma, David Hsu
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. CoRR (2020)
Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
Contrastive Variational Reinforcement Learning for Complex Observations. CoRL (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Recurrent Neural Networks. CoRR (2019)
Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
Differentiable Algorithm Networks for Composable Robot Learning. CoRR (2019)
Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems (2019)
Xiao Ma, Zhenzhe Zheng, Fan Wu, Guihai Chen
Trust-based time series data model for mobile crowdsensing. ICC (2017)
Xiao Ma, Xiaofeng Gao, Guihai Chen
BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social Networks. ICDM (2017)