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Chuang Gan — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Chuang Gan
41
papers ·
291
citations ·
0
h-index
University of Massachusetts Amherst
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
2021 · 23 citations
Prompting Decision Transformer for Few-Shot Policy Generalization
2022 · 18 citations
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
2022 · 14 citations
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
2022 · 5 citations
Hyper-Decision Transformer for Efficient Online Policy Adaptation
2023 · 4 citations
Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble
2024 · 3 citations
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
2023 · 2 citations
Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter
2025
Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering
2025
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
2025
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
2025
Reparameterized Policy Learning for Multimodal Trajectory Optimization
2023
SALMON: Self-Alignment with Instructable Reward Models
2023
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning
2023
Top co-authors
Joshua B. Tenenbaum
· 4
Yikang Shen
· 4
Zhiao Huang
· 4
Shun Zhang
· 3
Zhenfang Chen
· 3
Delin Chen
· 2
Ding Zhao
· 2
Gregory Wornell
· 2
Mengdi Xu
· 2
Subhro Das
· 2
Yuchen Lu
· 2
Zhang-Wei Hong
· 2
Topics
Model-Based RL
RLHF & Alignment
Policy Gradient
Meta-RL
Exploration
Multi-Agent
Offline RL
Value-Based
Game AI