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2018

Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks

Papoudakis, Georgios, Chatzidimitriou, Kyriakos C., Mitkas, Pericles A.

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Recent developments in deep reinforcement learning have enabled the creation of agents for solving a large variety of games given a visual input.

These methods have been proven successful for 2D games, like the Atari games, or for simple tasks, like navigating in mazes.
It is still an open question, how to address more complex environments, in which the reward is sparse and the state space is huge.
In this paper we propose a divide and conquer deep reinforcement learning solution and we test our agent in the first person shooter (FPS) game of Doom.

Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks · Around

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Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Graves, Alex and Antonoglou, Ioannis and Wierstra, Daan and Riedmiller, Martin, “Playing atari with deep reinforcement learning,” In NIPS Deep Learning Workshop. 2013
2013
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Similar

Mnih, Volodymyr, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu. “Asynchronous methods for deep reinforcement learning.” In International Conference on Machine Learning, pp. 1928-1937. 2016
2016
Cited alongside, same era.
Jaderberg, Max, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, and Koray Kavukcuoglu. ”Reinforcement learning with unsupervised auxiliary tasks.” arXiv preprint arXiv:1611.05397 (2016)
Original
2016
Cited alongside, same era.
Wu, Yuxin, and Yuandong Tian. ”Training agent for first-person shooter game with actor-critic curriculum learning.” (2016)
2016
Cited alongside, same era.

Then

Kempka, Michał, Marek Wydmuch, Grzegorz Runc, Jakub Toczek, and Wojciech Jaśkowski. ”Vizdoom: A doom-based ai research platform for visual reinforcement learning.” In Computational Intelligence and Games (CIG), 2016 IEEE Conference on, pp. 1-8. IEEE, 2016
Original
2016
Later among the works it cites.
Lample, Guillaume, and Devendra Singh Chaplot. ”Playing FPS Games with Deep Reinforcement Learning.” In AAAI, pp. 2140-2146. 2017
2017
Later among the works it cites.

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