Xue Bin Peng
18 papers · 2019–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Research topics
Artificial Intelligence
(12)
Reinforcement Learning
(12)
Methods
(10)
Deep Learning
(7)
Machine Learning
(7)
Applications
(7)
Core AI
(7)
Learning Types Β· Machine Learning
(6)
Robotics
(5)
Learning Paradigms
(5)
Models
(4)
Capabilities
(3)
Learning Types Β· Deep Learning
(2)
Systems
(2)
Computer Vision
(1)
Keywords
reinforcement learning
(8)
diffusion model
(3)
mutual information
(2)
motion planning
(2)
skill discovery
(2)
imitation learning
(2)
transfer learning
(2)
sim-to-real transfer
(2)
locomotion control
(1)
real-time control
(1)
adversarial learning
(1)
image generation
(1)
contrastive learning
(1)
domain generalization
(1)
domain adaptation
(1)
offline reinforcement learning
(1)
variational inference
(1)
video prediction
(1)
autonomous driving
(1)
few-shot learning
(1)
Papers
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
ICLR 2025
Language Guided Skill Discovery
ICLR 2025
TWIST: Teleoperated Whole-Body Imitation System
CoRL 2025
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets
CoRL 2024
Generating Human Interaction Motions in Scenes with Text Control
ECCV 2024
Trajeglish: Traffic Modeling as Next-Token Prediction
ICLR 2024
Learning and Adapting Agile Locomotion Skills by Transferring Experience
RSS 2023
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
CoRL 2023
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning
RSS 2023
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
CVPR 2023
Video Prediction Models as Rewards for Reinforcement Learning
NeurIPS 2023
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
CoRL 2022
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control
NeurIPS 2022
Offline Meta-Reinforcement Learning with Advantage Weighting
ICML 2021
Learning Agile Robotic Locomotion Skills by Imitating Animals
RSS 2020
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
ICLR 2020
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
NeurIPS 2019
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
ICLR 2019