Xiao Ma

Orcid: 0000-0001-5466-867X

Affiliations:
  • Dyson Robot Learning Lab, London, UK
  • National University of Singapore, Singapore


According to our database1, Xiao Ma authored at least 33 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Redundancy-Aware Action Spaces for Robot Learning.
IEEE Robotics Autom. Lett., August, 2024

Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation.
CoRR, 2024

BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark.
CoRR, 2024

Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Offline Prioritized Experience Replay.
CoRR, 2023

Improving and Benchmarking Offline Reinforcement Learning Algorithms.
CoRR, 2023

InsActor: Instruction-driven Physics-based Characters.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Diffusion Policies For Offline Reinforcement Learning.
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.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Imitation Learning as State Matching via Differentiable Physics.
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.
IEEE Trans. Knowl. Data Eng., 2022

Benchmarking Deformable Object Manipulation with Differentiable Physics.
CoRR, 2022

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning.
CoRR, 2022

Boosting Offline Reinforcement Learning via Data Rebalancing.
CoRR, 2022

Imitation Learning via Differentiable Physics.
CoRR, 2022

Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Learning Latent Graph Dynamics for Deformable Object Manipulation.
CoRR, 2021

HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification.
CoRR, 2021

Ab Initio Particle-based Object Manipulation.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020
Towards Overcoming False Positives in Visual Relationship Detection.
CoRR, 2020

Contrastive Variational Model-Based Reinforcement Learning for Complex Observations.
CoRR, 2020

DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space.
CoRR, 2020

Balanced Meta-Softmax for Long-Tailed Visual Recognition.
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.
Proceedings of the 8th International Conference on Learning Representations, 2020

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction.
Proceedings of the Computer Vision - ECCV 2020, 2020

Contrastive Variational Reinforcement Learning for Complex Observations.
Proceedings of the 4th Conference on Robot Learning, 2020

Particle Filter Recurrent Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Differentiable Algorithm Networks for Composable Robot Learning.
Proceedings of the Robotics: Science and Systems XV, 2019

2017
BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Trust-based time series data model for mobile crowdsensing.
Proceedings of the IEEE International Conference on Communications, 2017


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