8 citations · 12 across the 7 of their papers we have counts for
4 papers · 1 filter
Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL
Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi
This paper explores the use of Maximum Causal Entropy Inverse Reinforcement Learning (IRL) within the context of discrete-time stationary Mean-Field Games (MFGs) characterized by f…
Learning in Discounted-cost and Average-cost Mean-field Games
Berkay Anahtarcı, Can Deha Karıksız, Naci Saldi
We consider learning approximate Nash equilibria for discrete-time mean-field games with nonlinear stochastic state dynamics subject to both average and discounted costs. To this e…
Value Iteration Algorithm for Mean-field Games
Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi
In the literature, existence of mean-field equilibria has been established for discrete-time mean field games under both the discounted cost and the average cost optimality criteri…
Non-signaling Approximations of Stochastic Team Problems
Naci Saldi, Can Deha Karıksız, Maxim Raginsky +1
In this paper, we consider non-signaling approximation of finite stochastic teams. We first introduce a hierarchy of team decision rules that can be classified in an increasing ord…