Tongzhou Mu
13 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π₯ Mega-Team Β· Squad
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Dynamic Duo
(11)
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Grand Slam
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Keyword Collector
(67)
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Reinforcement Learning
(8)
Machine Learning
(7)
Deep Learning
(5)
Robotics
(5)
Applications Β· Reinforcement Learning
(5)
Methods
(5)
Application Areas
(4)
Artificial Intelligence
(3)
Capabilities
(3)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Core AI
(2)
Mathematics & Optimization
(1)
Applications Β· Robotics
(1)
Architectures
(1)
Keywords
reinforcement learning
(4)
imitation learning
(4)
robot manipulation
(2)
sample efficiency
(2)
robotic manipulation
(1)
domain generalization
(1)
stochastic gradient descent
(1)
robot learning
(1)
policy gradient
(1)
self-supervised learning
(1)
data augmentation
(1)
policy learning
(1)
visual representation
(1)
embodied ai
(1)
efficient computing
(1)
task generalization
(1)
visual reinforcement learning
(1)
empirical risk minimization
(1)
convex optimization
(1)
transfer learning
(1)
Papers
Demonstrating GPU Parallelized Robot Simulation and Rendering for Generalizable Embodied AI with ManiSkill3
RSS 2025
Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
ICML 2025
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
ICLR 2025
Towards Embodiment Scaling Laws in Robot Locomotion
CoRL 2025
When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?
AAAI 2025
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
ICLR 2024
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
ICML 2023
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
ICLR 2023
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
ICML 2023
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
NeurIPS 2020
State Alignment-based Imitation Learning
ICLR 2020
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
IJCAI 2017
Adaptive Variance Reducing for Stochastic Gradient Descent
IJCAI 2016