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The recent advances in deep neural networks have led to effective vision-based reinforcement learning methods that have been employed to obtain human-level controllers in Atari 2600 games from pixel data.
C. J. C. H. Watkins and P. Dayan · 1992
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A vision-based reinforcement learning for coordination of soccer playing behaviors
Minoru Asada, Eiji Uchibe, Shoichi Noda, Sukoya Tawaratsumida, and Koh Hosoda · 1994
Earlier work this paper cites.
Purposive behavior acquisition for a real robot by vision-based reinforcement learning
Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida, and Koh Hosoda · 1996
Earlier work this paper cites.
Reinforcement learning for a vision based mobile robot
Chris Gaskett, Luke Fletcher, and Alexander Zelinsky · 2000
Earlier work this paper cites.
An empirical study of machine learning algorithms applied to modeling player behavior in a first person shooter video game
Benjamin Geisler · 2002
Earlier work this paper cites.
Using a genetic algorithm to tune first-person shooter bots
Nicholas Cole, Sushil J Louis, and Chris Miles · 2004
Earlier work this paper cites.
Towards using first-person shooter computer games as an artificial intelligence testbed
Mark Dawes and Richard Hall · 2005
Earlier work this paper cites.
RETALIATE: learning winning policies in first-person shooter games
Megan Smith, Stephen Lee-Urban, and Héctor Muñoz-Avila · 2007
Earlier work this paper cites.
A hybrid fuzzy ANN system for agent adaptation in a first person shooter
Abdennour El Rhalibi and Madjid Merabti · 2008
Earlier work this paper cites.
An evaluation of models for predicting opponent positions in first-person shooter video games
S Hladky and V Bulitko · 2008
Earlier work this paper cites.
Computer game engines for developing first-person virtual environments
David Trenholme and Shamus P Smith · 2008
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Controlling bots in a First Person Shooter game using genetic algorithms
A I Esparcia-Alcazar, A Martinez-Garcia, A Mora, J J Merelo, and P Garcia-Sanchez · 2010
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Deep auto-encoder neural networks in reinforcement learning
Sascha Lange and Martin Riedmiller · 2010
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Intrinsically motivated neuroevolution for vision-based reinforcement learning
Giuseppe Cuccu, Matthew Luciw, Jürgen Schmidhuber, and Faustino Gomez · 2011
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Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio · 2011
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Reinforcement Learning in First Person Shooter Games
M McPartland and M Gallagher · 2011
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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Lecture 6.5—RmsProp: Divide the gradient by a running average of its recent magnitude
T. Tieleman and G. Hinton · 2012
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Rectifier nonlinearities improve neural network acoustic models
Andrew L. Maas, Awni Y. Hannun, and Andrew Y. Ng · 2013
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Evolving deep unsupervised convolutional networks for vision-based reinforcement learning
Jan Koutník, Jürgen Schmidhuber, and Faustino Gomez · 2014
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Continuous and Reinforcement Learning Methods for First-Person Shooter Games
Tony C Smith and Jonathan Miles · 2014
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Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning
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The Evolution of Gamebots for 3D First Person Shooter (FPS)
Chang Kee Tong, Ong Jia Hui, J Teo, and Chin Kim On · 2011
Cited alongside, same era.
DRE-Bot: A hierarchical First Person Shooter bot using multiple Sarsa( λ \lambda ) reinforcement learners
F G Glavin and M G Madden · 2012
Cited alongside, same era.
Believable Bot Navigation via Playback of Human Traces
Igor V. Karpov, Jacob Schrum, and Risto Miikkulainen · 2012
Cited alongside, same era.
F G Glavin and M G Madden · 2015
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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, and Demis Hassabis · 2015
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http://zdoom.org/wiki/Main_Page
Zdoom wiki page · 2016
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Exploratory gradient boosting for reinforcement learning in complex domains
David Abel, Alekh Agarwal, Fernando Diaz, Akshay Krishnamurthy, and Robert E. Schapire · 2016
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