Xiao Ma

According to our database, Xiao Ma authored at least 27 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Offline Prioritized Experience Replay.

Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan

CoRR, 2023

Improving and Benchmarking Offline Reinforcement Learning Algorithms.

Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan

CoRR, 2023

Efficient Diffusion Policies For Offline Reinforcement Learning.

Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mutual Information Regularized Offline Reinforcement Learning.

Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffMimic: Efficient Motion Mimicking with Differentiable Physics.

Jiawei Ren, Cunjun Yu, Siwei Chen, Xiao Ma, Liang Pan, Ziwei Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics.

Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning.

Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Imitation Learning as State Matching via Differentiable Physics.

Siwei Chen, Xiao Ma, Zhongwen Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Predicting Hot Events in the Early Period through Bayesian Model for Social Networks.

Zuowu Zheng, Xiaofeng Gao, Xiao Ma, Guihai Chen

IEEE Trans. Knowl. Data Eng., 2022

Benchmarking Deformable Object Manipulation with Differentiable Physics.

Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu

CoRR, 2022

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning.

Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu

CoRR, 2022

Boosting Offline Reinforcement Learning via Data Rebalancing.

Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan

CoRR, 2022

Imitation Learning via Differentiable Physics.

Siwei Chen, Xiao Ma, Zhongwen Xu

CoRR, 2022

Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects.

Xiao Ma, David Hsu, Wee Sun Lee

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Learning Latent Graph Dynamics for Deformable Object Manipulation.

Xiao Ma, David Hsu, Wee Sun Lee

CoRR, 2021

HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification.

Jiawei Ren, Xiao Ma, Chen Xu, Haiyu Zhao, Shuai Yi

CoRR, 2021

Ab Initio Particle-based Object Manipulation.

Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020

Contrastive Variational Model-Based Reinforcement Learning for Complex Observations.

Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee

CoRR, 2020

DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space.

Siwei Chen, Xiao Ma, David Hsu

CoRR, 2020

Balanced Meta-Softmax for Long-Tailed Visual Recognition.

Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discriminative Particle Filter Reinforcement Learning for Complex Partial observations.

Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye

Proceedings of the 8th International Conference on Learning Representations, 2020

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction.

Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi

Proceedings of the Computer Vision - ECCV 2020, 2020

Contrastive Variational Reinforcement Learning for Complex Observations.

Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee

Proceedings of the 4th Conference on Robot Learning, 2020

Particle Filter Recurrent Neural Networks.

Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Differentiable Algorithm Networks for Composable Robot Learning.

Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez

Proceedings of the Robotics: Science and Systems XV, 2019

2017

BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social Networks.

Xiao Ma, Xiaofeng Gao, Guihai Chen

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Trust-based time series data model for mobile crowdsensing.

Xiao Ma, Zhenzhe Zheng, Fan Wu, Guihai Chen

Proceedings of the IEEE International Conference on Communications, 2017