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ORCIDWilliam Dabney
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- affiliation: University of Massachusetts Amherst, Department of Computer Science
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2010 – 2019
- 2015
[j1]Alborz Geramifard, Christoph Dann, Robert H. Klein, William Dabney, Jonathan P. How:
RLPy: a value-function-based reinforcement learning framework for education and research. J. Mach. Learn. Res. 16: 1573-1578 (2015)- 2014
- [c5]William Dabney, Philip S. Thomas:
Natural Temporal Difference Learning. AAAI 2014: 1767-1773 - [i1]Sridhar Mahadevan, Bo Liu, Philip S. Thomas, William Dabney, Stephen Giguere, Nicholas Jacek, Ian Gemp, Ji Liu:
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces. CoRR abs/1405.6757 (2014) - 2013
- [c4]Philip S. Thomas, William Dabney, Stephen Giguere, Sridhar Mahadevan:
Projected Natural Actor-Critic. NIPS 2013: 2337-2345 - 2012
- [c3]William Dabney, Andrew G. Barto:
Adaptive Step-Size for Online Temporal Difference Learning. AAAI 2012: 872-878 - [c2]Marc-Allen Cartright, Ethem F. Can, William Dabney, Jeff Dalton, Logan Giorda, Kriste Krstovski, Xiaoye Wu, Ismet Zeki Yalniz, James Allan, R. Manmatha, David A. Smith:
A framework for manipulating and searching multiple retrieval types. SIGIR 2012: 1001
2000 – 2009
- 2007
- [c1]William Dabney, Amy McGovern:
Utile Distinctions for Relational Reinforcement Learning. IJCAI 2007: 738-743
Coauthor Index
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