Deep Reinforcement Learning for Pedestrian Guidance

Author:

Shimizu Hitoshi,Hara Takanori,Iwata Tomoharu

Publisher

Springer International Publishing

Reference9 articles.

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2. Kato, Y., Shigenaka, S., Nishida, R., Onishi, M.: Real-time pedestrian control by reinforcement learning. In: Proceedings of the 64th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), pp. 312–316 (2020)

3. Little, J.D., Graves, S.C.: Little’s law. In: Building Intuition, pp. 81–100. Springer (2008)

4. Mnih, V., et al.: Asynchronous methods for deep reinforcement learning. In: Proceedings of International Conference on Machine Learning (ICML), pp. 1928–1937 (2016)

5. Otsuka, T., Shimizu, H., Iwata, T., Naya, F., Sawada, H., Ueda, N.: Bayesian optimization for crowd traffic control using multi-agent simulation. In: Proceedings of the 22st International Conference on Intelligent Transportation Systems (ITSC), IEEE (2019)

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