Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games

12 Aug 2019Philip BontragerAhmed KhalifaDamien AndersonMatthew StephensonChristoph SalgeJulian Togelius

Deep reinforcement learning has learned to play many games well, but failed on others. To better characterize the modes and reasons of failure of deep reinforcement learners, we test the widely used Asynchronous Actor-Critic (A2C) algorithm on four deceptive games, which are specially designed to provide challenges to game-playing agents... (read more)

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