Xue Bin Peng
18 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)
🐝
Cross-Pollinator
(14)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(6)
🌱
Topic Pioneer
🗃️
Keyword Collector
(65)
💎
Century Club
(18)
🔥
Unstoppable
(7)
⚡
Prolific Year
(5)
Conferences
ICLR (5)
CORL (4)
NIPS (3)
RSS (3)
CVPR (1)
ECCV (1)
ICML (1)
Top co-authors
Keywords
reinforcement learning
(4)
sim-to-real transfer
(2)
transfer learning
(2)
contrastive learning
(1)
offline reinforcement learning
(1)
imitation learning
(1)
few-shot learning
(1)
skill discovery
(1)
domain generalization
(1)
high-dimensional control
(1)
domain adaptation
(1)
video prediction
(1)
mutual information
(1)
continuous control
(1)
model-based reinforcement learning
(1)
locomotion control
(1)
motion planning
(1)
reward learning
(1)
collision avoidance
(1)
deep reinforcement learning
(1)
Papers
TWIST: Teleoperated Whole-Body Imitation System
CORL 2025
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
ICLR 2025
Language Guided Skill Discovery
ICLR 2025
Generating Human Interaction Motions in Scenes with Text Control
ECCV 2024
Trajeglish: Traffic Modeling as Next-Token Prediction
ICLR 2024
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets
CORL 2024
Learning and Adapting Agile Locomotion Skills by Transferring Experience
RSS 2023
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning
RSS 2023
Video Prediction Models as Rewards for Reinforcement Learning
NIPS 2023
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
CORL 2023
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
CVPR 2023
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control
NIPS 2022
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
CORL 2022
Offline Meta-Reinforcement Learning with Advantage Weighting
ICML 2021
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
ICLR 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals
RSS 2020
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
ICLR 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
NIPS 2019