Fetching the paper…
Reading the bibliography…
Multi-agent interaction is a fundamental aspect of autonomous driving in the real world.
Bi-level actor-critic for multi-agent coordination
H. Zhang, W. Chen, Z. Huang, M. Li, Y. Yang, W. Zhang, and J. Wang · 1909
Earlier work this paper cites.
Multi-agent reinforcement learning: Independent vs. cooperative agents
M. Tan · 1993
Earlier work this paper cites.
Policy gradient methods for reinforcement learning with function approximation
R. S. Sutton, D. A. McAllester, S. P. Singh, Y. Mansour, et al · 1999
Earlier work this paper cites.
SUMO (Simulation of Urban MObility)—an open-source traffic simulation
D. Krajzewicz, G. Hertkorn, C. Rössel, and P. Wagner · 2002
Earlier work this paper cites.
Multiagent traffic management: a reservation-based intersection control mechanism
K. Dresner and P. Stone · 2004
Earlier work this paper cites.
Selfish routing and the price of anarchy , volume 174
T. Roughgarden · 2005
Earlier work this paper cites.
Microscopic traffic simulation: A tool for the design, analysis and evaluation of intelligent transport systems
J. Barcelí, E. Codina, J. Casas, J. L. Ferrer, and D. García · 2005
Earlier work this paper cites.
The 2005 DARPA grand challenge: the great robot race , volume 36
M. Buehler, K. Iagnemma, and S. Singh · 2007
Earlier work this paper cites.
Traffic simulation with Aimsun
J. Casas, J. L. Ferrer, D. Garcia, J. Perarnau, and A. Torday · 2010
Earlier work this paper cites.
MuJoCo: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
Earlier work this paper cites.
Playing atari with deep reinforcement learning
V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. Riedmiller · 2013
Earlier work this paper cites.
Simulated car racing championship: Competition software manual, 2013
D. Loiacono, L. Cardamone, and P. L. Lanzi · 2013
Earlier work this paper cites.
Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles
S. International · 2016
Earlier work this paper cites.
Safe, multi-agent, reinforcement learning for autonomous driving
S. Shalev-Shwartz, S. Shammah, and A. Shashua · 2016
Earlier work this paper cites.
Learning multiagent communication with backpropagation
S. Sukhbaatar, R. Fergus, et al · 2016
Earlier work this paper cites.
G. Brockman, V. Cheung, L. Pettersson, J. Schneider, J. Schulman, J. Tang, and W. Zaremba · 2016
Earlier work this paper cites.
Asynchronous methods for deep reinforcement learning
V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu · 2016
Earlier work this paper cites.
Flow: Architecture and benchmarking for reinforcement learning in traffic control
C. Wu, A. Kreidieh, K. Parvate, E. Vinitsky, and A. M. Bayen · 2017
Earlier work this paper cites.
Carla: An open urban driving simulator
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun · 2017
Earlier work this paper cites.
StarCraft II: A new challenge for reinforcement learning
O. Vinyals, T. Ewalds, S. Bartunov, P. Georgiev, A. S. Vezhnevets, M. Yeo, A. Makhzani, H. Küttler, J. Agapiou, J. Schrittwieser, et al · 2017
Earlier work this paper cites.
Mastering chess and shogi by self-play with a general reinforcement learning algorithm
D. Silver, T. Hubert, J. Schrittwieser, I. Antonoglou, M. Lai, A. Guez, M. Lanctot, L. Sifre, D. Kumaran, T. Graepel, et al · 2017
Earlier work this paper cites.
Proximal policy optimization algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
Earlier work this paper cites.
Multi-agent actor-critic for mixed cooperative-competitive environments
R. Lowe, Y. Wu, A. Tamar, J. Harb, P. Abbeel, and I. Mordatch · 2017
Earlier work this paper cites.
AirSim: High-fidelity visual and physical simulation for autonomous vehicles
S. Shah, D. Dey, C. Lovett, and A. Kapoor · 2017
Earlier work this paper cites.
P. Peng, Y. Wen, Y. Yang, Q. Yuan, Z. Tang, H. Long, and J. Wang · 2017
Earlier work this paper cites.
An environment for autonomous driving decision-making
E. Leurent · 2018
Earlier work this paper cites.
Ray: A distributed framework for emerging AI applications
P. Moritz, R. Nishihara, S. Wang, A. Tumanov, R. Liaw, E. Liang, M. Elibol, Z. Yang, W. Paul, M. I. Jordan, et al · 2018
Earlier work this paper cites.
Rllib: Abstractions for distributed reinforcement learning
E. Liang, R. Liaw, R. Nishihara, P. Moritz, R. Fox, K. Goldberg, J. Gonzalez, M. Jordan, and I. Stoica · 2018
Earlier work this paper cites.
Fully decentralized multi-agent reinforcement learning with networked agents
K. Zhang, Z. Yang, H. Liu, T. Zhang, and T. Basar · 2018
Cited alongside, same era.
Mean field multi-agent reinforcement learning
Y. Yang, R. Luo, M. Li, M. Zhou, W. Zhang, and J. Wang · 2018
Cited alongside, same era.
Networked multi-agent reinforcement learning in continuous spaces
K. Zhang, Z. Yang, and T. Basar · 2018
Cited alongside, same era.
Duckietown environments for openai gym
M. Chevalier-Boisvert, F. Golemo, Y. Cao, B. Mehta, and L. Paull · 2018
Cited alongside, same era.
Probabilistic recursive reasoning for multi-agent reinforcement learning
Y. Wen, Y. Yang, R. Luo, J. Wang, and W. Pan · 2018
Cited alongside, same era.
Counterfactual multi-agent policy gradients
J. N. Foerster, G. Farquhar, T. Afouras, N. Nardelli, and S. Whiteson · 2018
Cited alongside, same era.
R-MADDPG for partially observable environments and limited communication
R. E. Wang, M. Everett, and J. P. How · 2020
Closest in time.
http://www.cs.utexas.edu/~aim/
AIM: Autonomous intersection management · 2020
Closest in time.
BARK: Open behavior benchmarking in multi-agent environments
J. Bernhard, K. Esterle, P. Hart, and T. Kessler · 2020
Closest in time.
Malib: A multi-agent learning framework
Y. Wen · 2020
Closest in time.
https://pybullet.org/wordpress/
Bullet real-time physics simulation · 2020
Closest in time.
OpEn: Code generation for embedded nonconvex optimization
P. Sopasakis, E. Fresk, and P. Patrinos · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Value-decomposition networks for cooperative multi-agent learning based on team reward
P. Sunehag, G. Lever, A. Gruslys, W. M. Czarnecki, V. F. Zambaldi, M. Jaderberg, M. Lanctot, N. Sonnerat, J. Z. Leibo, K. Tuyls, et al · 2018
Cited alongside, same era.
Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning
T. Rashid, M. Samvelyan, C. Schroeder, G. Farquhar, J. Foerster, and S. Whiteson · 2018
Cited alongside, same era.
K. Zhang, Z. Yang, H. Liu, T. Zhang, and T. Başar · 2018
Cited alongside, same era.
Learning to drive in a day
A. Kendall, J. Hawke, D. Janz, P. Mazur, D. Reda, J.-M. Allen, V.-D. Lam, A. Bewley, and A. Shah · 2019
Cited alongside, same era.
Social behavior for autonomous vehicles
W. Schwarting, A. Pierson, J. Alonso-Mora, S. Karaman, and D. Rus · 2019
Cited alongside, same era.
Colight: Learning network-level cooperation for traffic signal control
H. Wei, N. Xu, H. Zhang, G. Zheng, X. Zang, C. Chen, W. Zhang, Y. Zhu, K. Xu, and Z. Li · 2019
Cited alongside, same era.
Closest in time.
https://ipg-automotive.com/products-services/simulation-software/carmaker/
Carmaker — IPG Automotive · 2020
Closest in time.
https://www.carsim.com/
Mechanical simulation · 2020
Closest in time.
https://myesi.esi-group.com/downloads/software-downloads/pro-sivic-2017.0
Pro-SiVIC 2017.0 — myESI · 2020
Closest in time.
https://tass.plm.automation.siemens.com/prescan
PreScan — TASS International · 2020
Closest in time.
https://www.4d-virtualiz.com/en/automotive-simulator/
Automotive-simulator – 4D-virtualiz · 2020
Closest in time.
https://www.coppeliarobotics.com/
Robot simulator coppeliasim: create, compose, simulate, any robot - coppelia robotics · 2020
Closest in time.
http://gazebosim.org/
Gazebo · 2020
Closest in time.
https://github.com/cyberbotics/webots
Webots robot simulator · 2020
Closest in time.
Grand Theft Auto V
Rockstar Games · 2020
Closest in time.
Aimsun Next: Your personal mobility modeling lab
Aimsun · 2020
Closest in time.
https://www.matsim.org/
MATSim.org · 2020
Closest in time.
https://its.mit.edu/software/mitsimlab
MITSIMLab — INTELLIGENT TRANSPORTATION SYSTEMS LAB · 2020
Closest in time.
Traffic simulation software
PTV Group · 2020
Closest in time.
https://apollo.auto/platform/simulation.html
Apollo · 2020
Closest in time.
http://www.rfpro.com/
Driving simulation for autonomous driving, ADAS, vehicle dynamics and motorsport · 2020
Closest in time.
https://www.mscsoftware.com/product/virtual-test-drive
Virtual Test Drive (VTD) – Complete Tool-Chain for Driving Simulation · 2020
Closest in time.
Gym_torcs
Y. Naoto, K. Alexander, Z. Billy, and A. Kumar · 2020
Closest in time.
MADRaS: Multi-agent driving simulator
S. Anirban, R. Sohan, A. Buridi, and K. Meha · 2020
Closest in time.
Inside Waymo’s secret world for training self-driving cars
T. Atlantic · 2020
Closest in time.
The disengagement myth
K. Vogt · 2020
Closest in time.
Presentation at MIT course on self-driving cars
D. Anguelov · 2020
Closest in time.