Xue Bin Peng

Orcid: 0000-0002-3677-5655

According to our database1, Xue Bin Peng authored at least 72 papers between 2015 and 2026.

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Bibliography

2026
MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives.
CoRR, April, 2026

Learning Whole-Body Humanoid Locomotion via Motion Generation and Motion Tracking.
CoRR, April, 2026

Kimodo: Scaling Controllable Human Motion Generation.
CoRR, March, 2026

Robo-Saber: Generating and Simulating Virtual Reality Players.
CoRR, February, 2026

2025
SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control.
CoRR, December, 2025

MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control.
CoRR, October, 2025

Noise-Aware Generative Microscopic Traffic Simulation.
CoRR, August, 2025

GMT: General Motion Tracking for Humanoid Whole-Body Control.
CoRR, June, 2025

LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction.
CoRR, June, 2025

HIL: Hybrid Imitation Learning of Diverse Parkour Skills from Videos.
CoRR, May, 2025

ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators.
CoRR, May, 2025

TWIST: Teleoperated Whole-Body Imitation System.
CoRR, May, 2025

Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning.
CoRR, January, 2025

Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control.
Int. J. Robotics Res., 2025

Physics-Based Motion Imitation with Adversarial Differential Discriminators.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

SHARE: Scene-Human Aligned Reconstruction.
Proceedings of the SIGGRAPH Asia 2025 Technical Communications, 2025

PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Generalizable Humanoid Manipulation with 3D Diffusion Policies.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Language Guided Skill Discovery.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting.
ACM Trans. Graph., December, 2024

Interactive Character Control with Auto-Regressive Motion Diffusion Models.
ACM Trans. Graph., July, 2024

Generalizable Humanoid Manipulation with Improved 3D Diffusion Policies.
CoRR, 2024

SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Flexible Motion In-betweening with Diffusion Models.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Trajeglish: Traffic Modeling as Next-Token Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generating Human Interaction Motions in Scenes with Text Control.
Proceedings of the Computer Vision - ECCV 2024, 2024

Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
Learning Physically Simulated Tennis Skills from Broadcast Videos.
ACM Trans. Graph., August, 2023

Trajeglish: Learning the Language of Driving Scenarios.
CoRR, 2023

RoboPianist: A Benchmark for High-Dimensional Robot Control.
CoRR, 2023

Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning.
CoRR, 2023

CALM: Conditional Adversarial Latent Models for Directable Virtual Characters.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Synthesizing Physical Character-Scene Interactions.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Learning and Adapting Agile Locomotion Skills by Transferring Experience.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Robust and Versatile Bipedal Jumping Control through Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Video Prediction Models as Rewards for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning.
IROS, 2023

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2023

2022
ASE: large-scale reusable adversarial skill embeddings for physically simulated characters.
ACM Trans. Graph., 2022

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery.
CoRR, 2022

PADL: Language-Directed Physics-Based Character Control.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Unsupervised Reinforcement Learning with Contrastive Intrinsic Control.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots.
Proceedings of the Conference on Robot Learning, 2022

2021
Acquiring Motor Skills Through Motion Imitation and Reinforcement Learning
PhD thesis, 2021

AMP: adversarial motion priors for stylized physics-based character control.
ACM Trans. Graph., 2021

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Offline Meta-Reinforcement Learning with Advantage Weighting.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Learning Agile Robotic Locomotion Skills by Imitating Animals.
Proceedings of the Robotics: Science and Systems XVI, 2020

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Reward-Conditioned Policies.
CoRR, 2019

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.
CoRR, 2019

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Learning Symmetric Locomotion.
Proceedings of the Motion, Interaction and Games, 2019

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
SFV: reinforcement learning of physical skills from videos.
ACM Trans. Graph., 2018

DeepMimic: example-guided deep reinforcement learning of physics-based character skills.
ACM Trans. Graph., 2018

Terrain RL Simulator.
CoRR, 2018

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning.
ACM Trans. Graph., 2017

Learning locomotion skills using DeepRL: does the choice of action space matter?
Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2017

2016
Terrain-adaptive locomotion skills using deep reinforcement learning.
ACM Trans. Graph., 2016

2015
Dynamic terrain traversal skills using reinforcement learning.
ACM Trans. Graph., 2015


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