L4DC 2021
104 papers
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance
Thinh T. Doan
Learning-based State Reconstruction for a Scalar Hyperbolic PDE under noisy Lagrangian Sensing
Matthieu Barreau, John Liu, Karl Henrik Johansson
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning
Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning
Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson