34 citations · 77 across the 14 of their papers we have counts for
4 papers · 2 filters
Structured Online Learning-based Control of Continuous-time Nonlinear Systems
Milad Farsi, Jun Liu
Model-based reinforcement learning techniques accelerate the learning task by employing a transition model to make predictions. In this paper, a model-based learning approach is pr…
Converse Barrier Functions via Lyapunov Functions
Jun Liu
We prove a robust converse barrier function theorem via the converse Lyapunov theory. While the use of a Lyapunov function as a barrier function is straightforward, the existence o…
On the Convergence of Reinforcement Learning with Monte Carlo Exploring Starts
Jun Liu
A basic simulation-based reinforcement learning algorithm is the Monte Carlo Exploring States (MCES) method, also known as optimistic policy iteration, in which the value function…
A Necessary Condition on Chain Reachable Robustness of Dynamical Systems
Maxwell Fitzsimmons, Jun Liu
It is ``folklore'' that the solution to a set reachability problem for a dynamical system is only noncomputable because of non-robustness reasons. A robustness condition that can b…