Nonparametric General Reinforcement Learning

28 Nov 2016 Jan Leike

Reinforcement learning (RL) problems are often phrased in terms of Markov decision processes (MDPs). In this thesis we go beyond MDPs and consider RL in environments that are non-Markovian, non-ergodic and only partially observable... (read more)

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