Modular Multi-Objective Deep Reinforcement Learning with Decision Values

21 Apr 2017Tomasz Tajmajer

In this work we present a method for using Deep Q-Networks (DQNs) in multi-objective environments. Deep Q-Networks provide remarkable performance in single objective problems learning from high-level visual state representations... (read more)

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