25 citations · 71 across the 36 of their papers we have counts for
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cs.LG2021★ 3 cited
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity
Ali Devran Kara, Naci Saldi, Serdar Yüksel
Reinforcement learning algorithms often require finiteness of state and action spaces in Markov decision processes (MDPs) (also called controlled Markov chains) and various efforts…
eess.SY2021
Large Deviations Principle for Discrete-time Mean-field Games
Naci Saldi
In this paper, we establish a large deviations principle (LDP) for interacting particle systems that arise from state and action dynamics of discrete-time mean-field games under th…