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Showing 1 to 2 of 2 for “"general learning agents"”.

  1. Generic Reinforcement Learning Beyond Small MDPs

    Feature reinforcement learning (FRL) is a framework within which an agent can automatically reduce a complex environment to a Markov Decision Process (MDP) by finding a map which aggregates similar histories into the states of an MDP. The primary motivation behind this thesis is to build FRL agents

    aus-cath Repository record for Generic Reinforcement Learning Beyond Small MDPs (opens in a new tab)

  2. Generic Reinforcement Learning Beyond Small MDPs

    Feature reinforcement learning (FRL) is a framework within which an agent can automatically reduce a complex environment to a Markov Decision Process (MDP) by finding a map which aggregates similar histories into the states of an MDP. The primary motivation behind this thesis is to build FRL agents

    anu Repository record for Generic Reinforcement Learning Beyond Small MDPs (opens in a new tab)