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Designing Intelligent Wheelchairs: Reintegrating AI.

. AAAI Spring Symposium: Designing Intelligent Robots, volume SS-13-04 of AAAI Technical Report, AAAI, (2013)

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Modeling Glucagon Action in Patients With Type 1 Diabetes., , , , , and . IEEE J. Biomed. Health Informatics, 21 (4): 1163-1171 (2017)On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)., , , , and . IJCAI, page 5055-5059. ijcai.org, (2020)Journal track.TarMAC: Targeted Multi-Agent Communication., , , , , , and . CoRR, (2018)An Introduction to Deep Reinforcement Learning, , , , and . (2018)cite arxiv:1811.12560.Deep Reinforcement Learning That Matters, , , , , and . (2018, 2017)Learning time series models for pedestrian motion prediction., , and . ICRA, page 3323-3330. IEEE, (2016)Mobility profile and wheelchair driving skills of powered wheelchair users: Sensor-based event recognition using a support vector machine classifier., , , , , , , , and . EMBC, page 7336-7339. IEEE, (2011)Active Learning for Developing Personalized Treatment., , and . UAI, page 161-168. AUAI Press, (2011)Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking., and . AAAI, page 3684-3692. AAAI Press, (2020)OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning., , , , , and . AAAI, page 3199-3206. AAAI Press, (2018)