A generalized stacked reinforcement learning method for sampled systems

Pavel Osinenko, Dmitrii Dobriborsci, Grigory Yaremenko +1

A common setting of reinforcement learning (RL) is a Markov decision process (MDP) in which the environment is a stochastic discrete-time dynamical system. Whereas MDPs are suitabl…