2 papers
cs.LG2025
Kernel Based Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games
Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi
We consider the maximum causal entropy inverse reinforcement learning (IRL) problem for infinite-horizon stationary mean-field games (MFG), in which we model the unknown reward fun…
eess.SY2019
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…