Sicun Gao

12

Papers

7

Total Citations

Papers (12)

When Maximum Entropy Misleads Policy Optimization

Sample-and-Bound for Non-convex Optimization

Activation-Descent Regularization for Input Optimization of ReLU Networks

Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents

Mollification Effects of Policy Gradient Methods

Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding

Fractal Landscapes in Policy Optimization

Iterative Reachability Estimation for Safe Reinforcement Learning

Neural Lyapunov Control

Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks

Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems

Monte Carlo Tree Descent for Black-Box Optimization