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Sicun Gao — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sicun Gao
22
papers ·
49
citations ·
22
h-index
University of California San Diego
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
2019 · 22 citations
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
2024 · 7 citations
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
2022 · 4 citations
Provably Efficient Model-based Policy Adaptation
2020 · 3 citations
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
2022 · 2 citations
Iterative Reachability Estimation for Safe Reinforcement Learning
2023 · 1 citations
RN-D: Discretized Categorical Actors with Regularized Networks for On-Policy Reinforcement Learning
2026
When Maximum Entropy Misleads Policy Optimization
2025
Improving Value Estimation Critically Enhances Vanilla Policy Gradient
2025
Fractal Landscapes in Policy Optimization
2023
Extremum-Seeking Action Selection for Accelerating Policy Optimization
2024
Mollification Effects of Policy Gradient Methods
2024
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
2024
Top co-authors
Sylvia Herbert
· 3
Chenning Yu
· 2
Milan Ganai
· 2
Tao Wang
· 2
Ya-Chien Chang
· 2
Aditi Mavalankar
· 1
Chung-En Sun
· 1
Eric Yang Yu
· 1
Hao Su
· 1
Henrik I. Christensen
· 1
Hongzhan Yu
· 1
Jie Feng
· 1
Topics
Policy Gradient
Model-Based RL
Safe RL
Exploration
Value-Based
Meta-RL
Multi-Agent
Game AI