Publisher
Springer International Publishing
Reference26 articles.
1. J. Achiam, D. Held, A. Tamar, P. Abbeel, “Constrained policy optimization” International Conference on Machine Learning, p22–31, 2017.
2. I. Arel, C. Liu, T. Urbanik, and A.G. Kohls, “Reinforcement learning-based multi-agent system for network traffic signal control,” IET Intelligent Transport Systems, 4(2), pp.128–135, 2010.
3. F. Belletti, D. Haziza, G. Gomes and A. M. Bayen, “Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning”, IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 4, pp. 1198–1207, 2018.
4. D. Bertsekas, “Dynamic programming and optimal control.” Athena scientific Belmont, 2005.
5. S. El-Tantawy, B. Abdulhai, and H. Abdelgawad, “Multiagent reinforcement learning for integrated network of adaptive traffic signal controllers (MARLIN-ATSC): methodology and large-scale application on downtown Toronto,” IEEE Transactions on Intelligent Transportation Systems vol.14.3, pp. 1140–1150, 2013.