Tongzhou Mu
13 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11)
🌈
Renaissance Researcher
(6)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
👥
Mega-Team
(23)
🤝
Dynamic Duo
(11)
🏆
Grand Slam
❓
The Questioner
⚡
Prolific Year
(5)
💎
Century Club
(13)
Conferences
ICLR (4)
ICML (3)
IJCAI (2)
AAAI (1)
CORL (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
reinforcement learning
(2)
stochastic gradient descent
(1)
sample efficiency
(1)
imitation learning
(1)
robotic manipulation
(1)
transfer learning
(1)
convex optimization
(1)
self-supervised learning
(1)
data augmentation
(1)
policy learning
(1)
visual representation
(1)
embodied ai
(1)
visual reinforcement learning
(1)
task generalization
(1)
empirical risk minimization
(1)
robot learning
(1)
large-scale learning
(1)
coordinate descent
(1)
block coordinate descent
(1)
accelerated gradient
(1)
Papers
Demonstrating GPU Parallelized Robot Simulation and Rendering for Generalizable Embodied AI with ManiSkill3
RSS 2025
Towards Embodiment Scaling Laws in Robot Locomotion
CORL 2025
When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?
AAAI 2025
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
ICLR 2025
Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
ICML 2025
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
ICLR 2024
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
ICML 2023
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
ICML 2023
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
ICLR 2023
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
NIPS 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