References

Human-level control through deep reinforcement learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, & Demis Hassabis (2015)

Nature, 518(7540), 529-533.

DOI: https://doi.org/10.1038/nature14236

Abstract. Introduces the Deep Q-Network (DQN), the first deep reinforcement learning agent to reach human-level performance across dozens of Atari games using only pixels and scores as input.

Tags: reinforcement-learning dqn games

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