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Nowadays, autonomous vehicles are gaining traction due to their numerous potential applications in resolving a variety of other real-world challenges.
Learning to race: Experiments with a simulated race car
Larry D. Pyeatt and Adele E. Howe · 1998
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Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
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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
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Continuous control with deep reinforcement learning
Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra · 2015
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Christopher J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, and Demis Hassabis · 2016
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Watch this: Scalable cost-function learning for path planning in urban environments
Markus Wulfmeier, Dominic Zeng Wang, and Ingmar Posner · 2016
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Learning to drive using inverse reinforcement learning and deep q-networks
Sahand Sharifzadeh, Ioannis Chiotellis, Rudolph Triebel, and Daniel Cremers · 2016
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Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 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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Overtaking maneuvers in simulated highway driving using deep reinforcement learning
Meha Kaushik, Vignesh Prasad, K Madhava Krishna, and Balaraman Ravindran · 2018
Cited alongside, same era.
Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
Cited alongside, same era.
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.
B-gap: Behavior-guided action prediction and navigation for autonomous driving
Angelos Mavrogiannis, Rohan Chandra, and Dinesh Manocha · 2020
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Inverse reinforcement learning with hybrid-weight trust-region optimization and curriculum learning for autonomous maneuvering
Yu Shen, Weizi Li, and Ming C Lin · 2022
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Driving in real life with inverse reinforcement learning
Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Sang Uk Lee, Momchil S Tomov, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suarez-Ruiz, Robert Beaudoin, et al · 2022
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Using graph-theoretic machine learning to predict human driver behavior
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Rohan Chandra, Aniket Bera, and Dinesh Manocha · 2022
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