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All reinforcement learning algorithms must handle the trade-off between exploration and exploitation.
Keeping the neural networks simple by minimizing the description length of the weights
Geoffrey E Hinton and Drew Van Camp · 1993
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Generalization in reinforcement learning: Successful examples using sparse coarse coding
Richard S Sutton · 1996
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An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
Ronald Parr, Lihong Li, Gavin Taylor, Christopher Painter-Wakefield, and Michael L Littman · 2008
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Autonomous reinforcement learning on raw visual input data in a real world application
Sascha Lange, Martin Riedmiller, and Arne Voigtlander · 2012
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Dyna-style planning with linear function approximation and prioritized sweeping
Richard S. Sutton, Csaba Szepesvári, Alborz Geramifard, and Michael Bowling · 2012
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Incentivizing exploration in reinforcement learning with deep predictive models
Bradly C. Stadie, Sergey Levine, and Pieter Abbeel · 2015
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OpenAI Gym, 2016
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba · 2016
Cited alongside, same era.
VIME: Variational information maximizing exploration
Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, and Pieter Abbeel · 2016
Cited alongside, same era.
Sparse latent space policy search
Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, and Heni Ben Amor · 2016
Cited alongside, same era.
Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
Cited alongside, same era.
A 2d physics engine for games, 2017
Erin Catto · 2017
Later among the works it cites.
pybullet, a python module for physics simulation for games, robotics and machine learning
Erwin Coumans and Yunfei Bai · 2017
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Curiosity-driven exploration by self-supervised prediction
Deepak Pathak, Pulkit Agrawal, Alexei A Efros, and Trevor Darrell · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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