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Shangding Gu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Shangding Gu
27
papers ·
195
citations ·
13
h-index
Berkeley College · University of California, Berkeley
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Most-cited papers
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
2022 · 102 citations
Settling the Variance of Multi-Agent Policy Gradients
2021 · 24 citations
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors
2023 · 19 citations
Multi-Agent Constrained Policy Optimisation
2021 · 16 citations
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
2024 · 9 citations
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
2025 · 1 citations
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
2024 · 1 citations
RLBenchNet: The Right Network for the Right Reinforcement Learning Task
2025
Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics
2025
Don't Trade Off Safety: Diffusion Regularization for Constrained Offline RL
2025
SCPO: Safe Reinforcement Learning with Safety Critic Policy Optimization
2023
Spreeze: High-Throughput Parallel Reinforcement Learning Framework
2023
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
2024
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
2024
Top co-authors
Ming Jin
· 5
Guang Chen
· 4
Costas Spanos
· 3
Jun Wang
· 3
Yali Du
· 3
Bilgehan Sel
· 2
Laixi Shi
· 2
Lu Wang
· 2
Muning Wen
· 2
Qingwei Lin
· 2
Ruiqi Zhang
· 2
Yaodong Yang
· 2
Topics
Safe RL
Model-Based RL
Policy Gradient
Multi-Agent
Exploration
Value-Based
Game AI
Meta-RL
Offline RL
RLHF & Alignment