4 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
Resilient Strategies for Stochastic Systems: How Much Does It Take to Break a Winning Strategy?
Kush Grover, Markel Zubia, Debraj Chakraborty +3
We study the problem of resilient strategies in the presence of uncertainty. Resilient strategies enable an agent to make decisions that are robust against disturbances. In particu…
Sound Value Iteration for Simple Stochastic Games
Muqsit Azeem, Jan Kretinsky, Maximilian Weininger
Algorithmic analysis of Markov decision processes (MDP) and stochastic games (SG) in practice relies on value-iteration (VI) algorithms. Since basic VI does not provide guarantees…
Sound Value Iteration for Simple Stochastic Games
Muqsit Azeem, Jan Kretinsky, Maximilian Weininger
Algorithmic analysis of Markov decision processes (MDP) and stochastic games (SG) in practice relies on value-iteration (VI) algorithms. Since the basic version of VI does not prov…
Optimistic and Topological Value Iteration for Simple Stochastic Games
Muqsit Azeem, Alexandros Evangelidis, Jan Křetínský +2
While value iteration (VI) is a standard solution approach to simple stochastic games (SSGs), it suffered from the lack of a stopping criterion. Recently, several solutions have ap…