Bibliography

AWR+17

Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, and Wojciech Zaremba. Hindsight experience replay. In Advances in Neural Information Processing Systems. 2017. arXiv:1707.01495.

HM08

Jean François Hren and Rémi Munos. Optimistic planning of deterministic systems. Lecture Notes in Computer Science, 2008.

KTH07

Arne Kesting, Martin Treiber, and Dirk Helbing. General lane-changing model MOBIL for car-following models. Transportation Research Record, 2007. doi:10.3141/1999-10.

LM19

Edouard Leurent and Jean Mercat. Social attention for autonomous decision-making in dense traffic. In Machine Learning for Autonomous Driving Workshop at the Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019). Montreal, Canada, December 2019. arXiv:1911.12250.

MKS+15

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. Human-level control through deep reinforcement learning. Nature, 518(7540):529–533, 2015.

PAltcheDAndreaN17

Philip Polack, Florent Altché, and Brigitte D’Andréa-Novel. The Kinematic Bicycle Model : a Consistent Model for Planning Feasible Trajectories for Autonomous Vehicles ? IEEE Intelligent Vehicles Symposium, pages 6–8, 2017.

QSMG17

Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas. Pointnet: deep learning on point sets for 3d classification and segmentation. 2017. arXiv:1612.00593.

THH00

Martin Treiber, Ansgar Hennecke, and Dirk Helbing. Congested traffic states in empirical observations and microscopic simulations. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 62(2):1805–1824, 2000.