2 papers
math.OC2026
Optimal strategies in Markov decision processes with finitely additive evaluations
János Flesch, Arkadi Predtetchinski, William D Sudderth +1
We study infinite-horizon Markov decision processes (MDPs) where the decision maker evaluates each of her strategies by aggregating the infinite stream of expected stage-rewards. T…
math.OC2024
Zero-one Laws for a Control Problem with Random Action Sets
János Flesch, Arkadi Predtetchinski, William D Sudderth +1
In many control problems there is only limited information about the actions that will be available at future stages. We introduce a framework where the Controller chooses actions…