1 citations · 2 across the 4 of their papers we have counts for
6 papers
The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation
Anna Winnicki, Joseph Lubars, Michael Livesay +1
Function approximation is widely used in reinforcement learning to handle the computational difficulties associated with very large state spaces. However, function approximation in…
Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure
Joseph Lubars, Anna Winnicki, Michael Livesay +1
We consider Markov Decision Processes (MDPs) in which every stationary policy induces the same graph structure for the underlying Markov chain and further, the graph has the follow…
On non-unique solutions in mean field games
Bruce Hajek, Michael Livesay
The theory of mean field games is a tool to understand noncooperative dynamic stochastic games with a large number of players. Much of the theory has evolved under conditions ensur…
A Locally Stable Equilibria Criterion for the Generalized Lotka-Volterra
Michael Richard Livesay
The main result applies to non-degenerate cases of the generalized Lotka-Volterra model. A criterion is given that relates the stability of two fixed points with the associated Sch…
Stable Configurations in Social Networks
Jared C. Bronski, Lee DeVille, Tim Ferguson +1
We present and analyze a model of opinion formation on an arbitrary network whose dynamics comes from a global energy function. We study the global and local minimizers of this ene…
On the recovery of traveling water waves with vorticity from the pressure at the bed
Vera Mikyoung Hur, Michael R. Livesay
We propose higher-order approximation formulae recovering the surface elevation from the pressure at the bed and the background shear flow for small-amplitude Stokes and solitary w…