Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

J. Van den Berg, M. Lin, and D. Manocha, “Reciprocal velocity obstacles for real-time multi-agent navigation,” in Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA) , 2008, pp. 1928–1935

1935

Earlier work this paper cites.

V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu, “Asynchronous methods for deep reinforcement learning,” in International Conference on Machine Learning , 2016, pp. 1928–1937

1937

Earlier work this paper cites.

S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural computation , vol. 9, no. 8, pp. 1735–1780, 1997

1997

Earlier work this paper cites.

T. Campbell, M. Liu, B. Kulis, J. P. How, and L. Carin, “Dynamic clustering via asymptotics of the dependent dirichlet process mixture,” in Advances in Neural Information Processing Systems 26 , 2013

2013

Earlier work this paper cites.

I. Sutskever, O. Vinyals, and Q. V. Le, “Sequence to sequence learning with neural networks,” in Advances in neural information processing systems , 2014, pp. 3104–3112

2014

Earlier work this paper cites.

K. Cho, B. Van Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio, “Learning phrase representations using rnn encoder-decoder for statistical machine translation,” arXiv preprint arXiv:1406.1078 , 2014

Original

2014

Earlier work this paper cites.

D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980 , 2014

Original

2014

Earlier work this paper cites.

A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese, “Social lstm: Human trajectory prediction in crowded spaces,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 961–971

2016

Earlier work this paper cites.

M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, et al. , “Tensorflow: A system for large-scale machine learning.” in OSDI , vol. 16, 2016, pp. 265–283

2016

Cited alongside, same era.

W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg, “Ssd: Single shot multibox detector,” in European conference on computer vision . Springer, 2016, pp. 21–37

2016

Cited alongside, same era.

J. Miller, A. Hasfura, S. Y. Liu, and J. P. How, “Dynamic arrival rate estimation for campus Mobility On Demand network graphs,” in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Oct. 2016, pp. 2285–2292

2016

Cited alongside, same era.

Y. Chen, M. Liu, M. Everett, and J. P. How, “Decentralized, non-communicating multiagent collision avoidance with deep reinforcement learning,” in Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA) , Singapore, 2017

2017

L. Tai, G. Paolo, and M. Liu, “Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation,” in Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on . IEEE, 2017, pp. 31–36

2017

Later among the works it cites.

L. Tai, J. Zhang, M. Liu, and W. Burgard, “Socially-compliant navigation through raw depth inputs with generative adversarial imitation learning,” arXiv preprint arXiv:1710.02543 , 2017

Original

2017

Later among the works it cites.

S. Gupta, J. Davidson, S. Levine, R. Sukthankar, and J. Malik, “Cognitive mapping and planning for visual navigation,” arXiv preprint arXiv:1702.03920 , vol. 3, 2017

Original

2017

Later among the works it cites.

M. Babaeizadeh, I. Frosio, S. Tyree, J. Clemons, and J. Kautz, “Reinforcement learning thorugh asynchronous advantage actor-critic on a gpu,” in ICLR , 2017

2017

Later among the works it cites.