Infrastructure in Assessing Disaster-Relief Agents in the RoboCupRescue Simulation

Author:

Takami Shunki,Onishi Masaki,Noda Itsuki,Iwata Kazunori,Ito Nobuhiro,Uchitane Takeshi,Murase Yohsuke

Publisher

Springer International Publishing

Reference22 articles.

1. Akın, H.L., Aşık, O.: Robocup 2017 rescue simulation league team description RoboAKUT (turkey). http://roborescue.sf.net/data/2017-RSL/agent/rsl17-tdp-agent-RoboAKUT.pdf (2017). Accessed 10 Feb 2019

2. Akin, H.L., Ito, N., Jacoff, A., Kleiner, A., Pellenz, J., Visser, A.: Robocup rescue robot and simulation leagues. AI Magazine 34(1), 78–86 (2013). URL http://dblp.uni-trier.de/db/journals/aim/aim34.html#AkinIJKPV13

3. Ando, N., Suehiro, T., Kitagaki, K., Kotoku, T., Yoon, W.: Rt-middleware: distributed component middleware for rt (robot technology). In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3933–3938 (2005). https://doi.org/10.1109/IROS.2005.1545521

4. Ardestani, P., Taherian, M., MohammadAliZadeh, P., Nikoo, E.J.: Robocup rescue 2017- agent simulation League team description paper MRL (iran). http://roborescue.sf.net/data/2017-RSL/agent/rsl17-tdp-agent-MRL.pdf (2017). Accessed 10 Feb 2019

5. Castro, S.: Machine learning to the rescue!. https://blogs.mathworks.com/racing-lounge/2018/07/04/machine-learning-to-the-rescue/ (2018). Accessed 10 Feb 2019

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