8 citations · 21 across the 21 of their papers we have counts for
14 papers · 1 filter
Risk-Minimizing Two-Player Zero-Sum Stochastic Differential Game via Path Integral Control
Apurva Patil, Yujing Zhou, David Fridovich-Keil +1
This paper addresses a continuous-time risk-minimizing two-player zero-sum stochastic differential game (SDG), in which each player aims to minimize its probability of failure. Fai…
Chance-Constrained Stochastic Optimal Control via Path Integral and Finite Difference Methods
Apurva Patil, Alfredo Duarte, Aislinn Smith +2
This paper addresses a continuous-time continuous-space chance-constrained stochastic optimal control (SOC) problem via a Hamilton-Jacobi-Bellman (HJB) partial differential equatio…
Entropy Maximization for Partially Observable Markov Decision Processes
Yagiz Savas, Michael Hibbard, Bo Wu +2
We study the problem of synthesizing a controller that maximizes the entropy of a partially observable Markov decision process (POMDP) subject to a constraint on the expected total…
Linearly-Solvable Mean-Field Approximation for Multi-Team Road Traffic Games
Ali Reza Pedram, Takashi Tanaka
We study the traffic routing game among a large number of selfish drivers over a traffic network. We consider a specific scenario where the strategic drivers can be classified into…
Entropy-Regularized Stochastic Games
Yagiz Savas, Mohamadreza Ahmadi, Takashi Tanaka +1
In two-player zero-sum stochastic games, where two competing players make decisions under uncertainty, a pair of optimal strategies is traditionally described by Nash equilibrium a…
Unpredictable Planning Under Partial Observability
Michael Hibbard, Yagiz Savas, Bo Wu +2
We study the problem of synthesizing a controller that maximizes the entropy of a partially observable Markov decision process (POMDP) subject to a constraint on the expected total…