| A Change Detection Model for Non-Stationary k-Armed Bandit Problems. C Diuk, ML Littman AAAI Spring Symposium: Between a Rock and a Hard Place: Cognitive Science …, 2006 | | 2006 |
| A hierarchical approach to efficient reinforcement learning ML Littman, C Diuk, A Strehl Proceedings of the ICML’05 Workshop on Rich Representations for …, 2005 | 5 | 2005 |
| A hierarchical approach to efficient reinforcement learning in deterministic domains C Diuk, AL Strehl, ML Littman Proceedings of the fifth international joint conference on Autonomous agents …, 2006 | 32 | 2006 |
| A neural signature of hierarchical reinforcement learning JÚJF Ribas-Fernandes, A Solway, C Diuk, JT McGuire, AG Barto, Y Niv, ... Neuron 71 (2), 370-379, 2011 | 217 | 2011 |
| A quantitative philology of introspection CG Diuk, DF Slezak, I Raskovsky, M Sigman, GA Cecchi Frontiers in integrative neuroscience 6, 80, 2012 | 46 | 2012 |
| An adaptive anomaly detector for worm detection JM Agosta, C Diuk-Wasser, J Chandrashekar, C Livadas Proceedings of the 2nd USENIX workshop on Tackling computer systems problems …, 2007 | 54 | 2007 |
| An object-oriented representation for efficient reinforcement learning CGD Wasser Rutgers The State University of New Jersey-New Brunswick, 2010 | 9 | 2010 |
| An object-oriented representation for efficient reinforcement learning C Diuk, A Cohen, ML Littman Proceedings of the 25th international conference on Machine learning, 240-247, 2008 | 385 | 2008 |
| Compositional Policy Priors D Wingate, C Diuk, T O'Donnell, J Tenenbaum, S Gershman | 16 | 2013 |
| Computer tools for genealogical reconstruction C Diuk, E Tandeter HISTORY AND COMPUTING-OXFORD- 12 (3), 329-346, 2000 | 1 | 2000 |
| Divide and conquer: hierarchical reinforcement learning and task decomposition in humans C Diuk, A Schapiro, N Córdova, J Ribas-Fernandes, Y Niv, M Botvinick Computational and Robotic Models of the Hierarchical Organization of …, 2013 | 47 | 2013 |
| Efficient structure learning in factored-state MDPs AL Strehl, C Diuk, ML Littman AAAI 7, 645-650, 2007 | 167 | 2007 |
| Exploring compact reinforcement-learning representations with linear regression TJ Walsh, I Szita, C Diuk, ML Littman Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009 | 133 | 2009 |
| Generalizing apprenticeship learning across hypothesis classes TJ Walsh, K Subramanian, ML Littman, C Diuk Proceedings of the Twenty-Seventh International Conference on Machine …, 2010 | 37 | 2010 |
| Hierarchical learning induces two simultaneous, but separable, prediction errors in human basal ganglia C Diuk, K Tsai, J Wallis, M Botvinick, Y Niv Journal of Neuroscience 33 (13), 5797-5805, 2013 | 100 | 2013 |
| Hierarchical reinforcement learning: an fMRI study of learning in a two-level gambling task C Diuk, AG Barto, MB Botvinick, Y Niv Soc Neurosci Abstr 36 (907.14), 2010 | 4 | 2010 |
| Hierarchical Reinforcement Learning. C Diuk, ML Littman Encyclopedia of Artificial Intelligence, 825-830, 2009 | 5 | 2009 |
| Neuron, volume 71 Supplemental Information JJF Ribas-Fernandes, A Solway, C Diuk, JT McGuire, AG Barto, Y Niv, ... | | |
| Optimal behavioral hierarchy A Solway, C Diuk, N Córdova, D Yee, AG Barto, Y Niv, MM Botvinick PLOS Computational Biology 10 (8), e1003779, 2014 | 226 | 2014 |
| Optimal behavioral hierarchy. MM Botvinick, C Diuk, D Yee, Y Niv, N Córdova, A Solway, AG Barto PLoS Computational Biology, 2014 | | 2014 |
Michael LittmanBrown University在 brown.edu 的电子邮件经过验证
