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A Particle-Filter Approach for Active Perception in Networked Robot Systems.

, , , , , and . ICSR, volume 9388 of Lecture Notes in Computer Science, page 451-460. Springer, (2015)

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Multiagent POMDPs with asynchronous execution., , and . AAMAS, page 1273-1274. IFAAMAS, (2013)Learning from Demonstration in the Wild., , , , , , , , , and 1 other author(s). CoRR, (2018)A robotic platform for edutainment activities in a pediatric hospital., , , , , , and . ICARSC, page 193-198. IEEE, (2014)Dynamic-Depth Context Tree Weighting., and . NIPS, page 3328-3337. (2017)Acquiring social interaction behaviours for telepresence robots via deep learning from demonstration., , and . IROS, page 37-42. IEEE, (2017)Inverse Reinforcement Learning from Failure., , and . AAMAS, page 1060-1068. ACM, (2016)The MADP Toolbox: An Open-Source Library for Planning and Learning in (Multi-)Agent Systems., , , and . AAAI Fall Symposia, page 59-62. AAAI Press, (2015)Efficient Offline Communication Policies for Factored Multiagent POMDPs., , and . NIPS, page 1917-1925. (2011)Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving., , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1168-1177. PMLR, (2022)Rapidly exploring learning trees., , and . ICRA, page 1541-1548. IEEE, (2017)