On the convergence of projective-simulation-based reinforcement learning in Markov decision processes

no code implementations • 25 Oct 2019 • Walter L. Boyajian, Jens Clausen, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel

Specifically, we prove that one version of the projective simulation model, understood as a reinforcement learning approach, converges to optimal behavior in a large class of Markov decision processes.

reinforcement-learning Reinforcement Learning (RL)