Strategies for simulating pedestrian navigation with multiple reinforcement learning agents

Author:

Martinez-Gil Francisco,Lozano Miguel,Fernández Fernando

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference60 articles.

1. Agre, P. & Chapman, D. (1987). Pengi: An implementation of a theory of activity. In: Proceedings of the Sixth National Conference on Artificial Intelligence, (pp. 268–272). Burlington: Morgan Kaufmann

2. Banerjee, B., Abukmail, A., & Kraemer, L. (2009). Layered intelligence for agent-based crowd simulation. Simulation, 85, 621–632.

3. van den Berg, J., Lin, M. & Manocha, D. (2008). Reciprocal velocity obstales for real-time multi-agent navigator. In: Proceedings of the IEEE International Conference on Robotics and Automation (pp. 1928–1935).

4. Bierlaire, M., & Robin, T. (2009). Pedestrians choices. In H. Timmermans (Ed.), Pedestrian Behavior (pp. 1–26). Bradford: Emerald.

5. Bosse, T., Hoogendoorn, M., Klein, M. C. A., Treur, J., van der Wal, C. N., & van Wissen, A. (2013). Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentions. Autonomous Agents and Multi-Agent Systems, 27(1), 52–84.

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