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Reinforcement learning is showing great potentials in robotics applications, including autonomous driving, robot manipulation and locomotion.
Real analysis
Halsey Lawrence Royden · 1968
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Noise and the reality gap: The use of simulation in evolutionary robotics
Nick Jakobi, Phil Husbands, and Inman Harvey · 1995
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Constrained model predictive control: Stability and optimality
David Q Mayne, James B Rawlings, Christopher V Rao, and Pierre OM Scokaert · 2000
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Crossing the reality gap in evolutionary robotics by promoting transferable controllers
Sylvain Koos, Jean-Baptiste Mouret, and Stéphane Doncieux · 2010
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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, et al · 2015
Earlier work this paper cites.
Ensemble-cio: Full-body dynamic motion planning that transfers to physical humanoids
Igor Mordatch, Kendall Lowrey, and Emanuel Todorov · 2015
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Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba · 2016
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Deep reinforcement learning framework for autonomous driving
Ahmad EL Sallab, Mohammed Abdou, Etienne Perot, and Senthil Yogamani · 2017
Cited alongside, same era.
Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017
Cited alongside, same era.
Robust adversarial reinforcement learning
Lerrel Pinto, James Davidson, Rahul Sukthankar, and Abhinav Gupta · 2017
Cited alongside, same era.
Domain randomization for transferring deep neural networks from simulation to the real world
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, and Pieter Abbeel · 2017
Later among the works it cites.
Reinforcement learning for control: Performance, stability, and deep approximators
Lucian Buşoniu, Tim de Bruin, Domagoj Tolić, Jens Kober, and Ivana Palunko · 2018
Later among the works it cites.
Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine · 2018
Later among the works it cites.
Learning agile and dynamic motor skills for legged robots
Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, and Marco Hutter · 2019
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