Xingyu Lin
13 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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Keyword Collector
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Top co-authors
Research topics
Reinforcement Learning
(8)
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(6)
Applications
(5)
Learning Types Β· Machine Learning
(5)
Methods
(4)
Deep Learning
(3)
Robotics
(3)
Capabilities
(3)
Computer Vision
(2)
Analysis
(2)
Learning Types Β· Deep Learning
(2)
Domain-Specific
(1)
Models
(1)
Keywords
deformable object manipulation
(3)
self-supervised learning
(2)
cloth manipulation
(2)
policy learning
(2)
robotic manipulation
(2)
reinforcement learning
(2)
partial observability
(2)
occlusion reasoning
(2)
chain-of-thought reasoning
(1)
preference learning
(1)
sim-to-real transfer
(1)
multi-task learning
(1)
mathematical reasoning
(1)
point cloud
(1)
hierarchical learning
(1)
policy optimization
(1)
visual reinforcement learning
(1)
adversarial training
(1)
gradient descent
(1)
pose estimation
(1)
Papers
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood
ACL 2026
Indirect Online Preference Optimization via Reinforcement Learning
IJCAI 2025
Any-point Trajectory Modeling for Policy Learning
RSS 2024
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
RSS 2024
Vision Foundation Model Enables Generalizable Object Pose Estimation
NeurIPS 2024
RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects
RSS 2023
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
ICLR 2022
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation
RSS 2022
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
CoRL 2022
Learning Visible Connectivity Dynamics for Cloth Smoothing
CoRL 2021
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
CoRL 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
CoRL 2020
Adaptive Auxiliary Task Weighting for Reinforcement Learning
NeurIPS 2019