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Interest in emergent communication has recently surged in Machine Learning.
Off-road obstacle avoidance through end-to-end learning
U. Muller, J. Ben, E. Cosatto, B. Flepp, and Y. L. Cun · 2006
Earlier work this paper cites.
Federal motor vehicle safety standards; v2v communications
N. H. T. S. Administration · 2016
Earlier work this paper cites.
End to end learning for self-driving cars
M. Bojarski, D. Del Testa, D. Dworakowski, B. Firner, B. Flepp, P. Goyal, L. D. Jackel, M. Monfort, U. Muller, J. Zhang, et al · 2016
Earlier work this paper cites.
Openai gym, 2016
G. Brockman, V. Cheung, L. Pettersson, J. Schneider, J. Schulman, J. Tang, and W. Zaremba · 2016
Earlier work this paper cites.
Learning to communicate with deep multi-agent reinforcement learning
J. Foerster, Y. M. Assael, N. de Freitas, and S. Whiteson · 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.
Mastering the game of Go with deep neural networks and tree search
D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel, and D. Hassabis · 2016
Earlier work this paper cites.
Learning multiagent communication with backpropagation
S. Sukhbaatar, a. szlam, and R. Fergus · 2016
Cited alongside, same era.
Query-efficient imitation learning for end-to-end autonomous driving
J. Zhang and K. Cho · 2016
Cited alongside, same era.
Analogs of linguistic structure in deep representations
J. Andreas and D. Klein · 2017
Cited alongside, same era.
Multi-modal multi-task deep learning for autonomous driving
S. Chowdhuri, T. Pankaj, and K. Zipser · 2017
Cited alongside, same era.
Learning cooperative visual dialog agents with deep reinforcement learning
A. Das, S. Kottur, J. M. Moura, S. Lee, and D. Batra · 2017
Tensorflow agents: Efficient batched reinforcement learning in tensorflow
D. Hafner, J. Davidson, and V. Vanhoucke · 2017
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Emergent translation in multi-agent communication
J. Lee, K. Cho, J. Weston, and D. Kiela · 2017
Later among the works it cites.
Deal or no deal? end-to-end learning for negotiation dialogues
M. Lewis, D. Yarats, Y. N. Dauphin, D. Parikh, and D. Batra · 2017
Later among the works it cites.
Multi-agent actor-critic for mixed cooperative-competitive environments
R. Lowe, Y. Wu, A. Tamar, J. Harb, P. Abbeel, and I. Mordatch · 2017
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Emergence of grounded compositional language in multi-agent populations
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Cited alongside, same era.
Emergent language in a multi-modal, multi-step referential game
K. Evtimova, A. Drozdov, D. Kiela, and K. Cho · 2017
Cited alongside, same era.
https://github.com/pybox2d/pybox2d
Box2D
Cited in the paper.
Department of transportation advances deployment of connected vehicle technology to prevent hundreds of thousands of crashes
U. S. D. of Transportation
Cited in the paper.
I. Mordatch and P. Abbeel · 2017
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Proximal policy optimization algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
Later among the works it cites.