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Every team deserves a second chance: an extended study on predicting team performance.

, , , and . Auton. Agents Multi Agent Syst., 31 (5): 1003-1054 (2017)

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Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning., , and . ICLR (Poster), OpenReview.net, (2017)Simultaneous Influencing and Mapping for Health Interventions., , , and . AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI, volume WS-16-08 of AAAI Technical Report, AAAI Press, (2016)978-1-57735-759-9.Dynamic Action Repetition for Deep Reinforcement Learning., , and . AAAI, page 2133-2139. AAAI Press, (2017)Representation Learning for Perception and Control. University of California, Berkeley, USA, (2021)Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks., , , and . CoRR, (2016)Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain., , , , and . ICLR (Poster), OpenReview.net, (2017)Every team deserves a second chance: an extended study on predicting team performance., , , and . Auton. Agents Multi Agent Syst., 31 (5): 1003-1054 (2017)Simultaneous Influencing and Mapping Social Networks: (Extended Abstract)., , , and . AAMAS, page 1439-1440. ACM, (2016)Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games., , , , , , , , , and 1 other author(s). GameSec, volume 9406 of Lecture Notes in Computer Science, page 170-191. Springer, (2015)