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Complementary roles of the rat prefrontal cortex and striatum in reward-based learning and shifting navigation strategies. (Rôles complémentaires du cortex préfrontal et du striatum dans l'apprentissage et le changement de stratégies de navigation basées sur la récompense chez le rat).. Pierre and Marie Curie University, Paris, France, (2007)Analyzing Interactions between Navigation Strategies Using a Computational Model of Action Selection., , , , and . Spatial Cognition, volume 5248 of Lecture Notes in Computer Science, page 71-86. Springer, (2008)Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays., , and . Living Machines, volume 10928 of Lecture Notes in Computer Science, page 16-27. Springer, (2018)Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots?, , , and . ICDL-EPIROB, page 254-260. IEEE, (2015)Active exploration in parameterized reinforcement learning., and . CoRR, (2016)Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations., , , , and . PLoS Computational Biology, (2014)Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task?, , and . SAB, volume 7426 of Lecture Notes in Computer Science, page 289-298. Springer, (2012)Active Exploration and Parameterized Reinforcement Learning Applied to a Simulated Human-Robot Interaction Task., , , and . IRC, page 28-35. IEEE Computer Society, (2017)Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution., , , , and . Journal of Computational Neuroscience, 29 (1-2): 309-325 (2010)Robot Fast Adaptation to Changes in Human Engagement During Simulated Dynamic Social Interaction With Active Exploration in Parameterized Reinforcement Learning., , , and . IEEE Trans. Cognitive and Developmental Systems, 10 (4): 881-893 (2018)