An agent design with goal reaching guarantees for enhancement of learning

Pavel Osinenko, Grigory Yaremenko, Georgiy Malaniya +2

Reinforcement learning is commonly concerned with problems of maximizing accumulated rewards in Markov decision processes. Oftentimes, a certain goal state or a subset of the state…