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ORCIDNicholas Roy
- > Home > Persons > Nicholas Roy
Publications
- 2015
[j41]Finale Doshi-Velez, David Pfau, Frank D. Wood, Nicholas Roy:
Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 394-407 (2015)- 2012
- [j31]Finale Doshi-Velez, Joelle Pineau, Nicholas Roy:
Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs. Artif. Intell. 187: 115-132 (2012) - [c74]Joshua Mason Joseph, Finale Doshi-Velez, Nicholas Roy:
A Bayesian nonparametric approach to modeling battery health. ICRA 2012: 1876-1882 - 2011
- [j24]Joshua Mason Joseph, Finale Doshi-Velez, Albert S. Huang, Nicholas Roy:
A Bayesian nonparametric approach to modeling motion patterns. Auton. Robots 31(4): 383-400 (2011) - [c67]Alborz Geramifard, Finale Doshi, Josh Redding, Nicholas Roy, Jonathan P. How:
Online Discovery of Feature Dependencies. ICML 2011: 881-888 - [c66]Finale Doshi, David Wingate, Joshua B. Tenenbaum, Nicholas Roy:
Infinite Dynamic Bayesian Networks. ICML 2011: 913-920 - 2010
- [c59]Joshua Mason Joseph, Finale Doshi-Velez, Nicholas Roy:
A Bayesian Nonparametric Approach to Modeling Mobility Patterns. AAAI 2010: 1587-1593 - [c48]Finale Doshi-Velez, David Wingate, Nicholas Roy, Joshua B. Tenenbaum:
Nonparametric Bayesian Policy Priors for Reinforcement Learning. NIPS 2010: 532-540 - 2008
- [j9]Finale Doshi, Nicholas Roy:
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system. Connect. Sci. 20(4): 299-318 (2008) - [c43]Finale Doshi, Nicholas Roy:
The permutable POMDP: fast solutions to POMDPs for preference elicitation. AAMAS (1) 2008: 493-500 - [c41]Finale Doshi, Joelle Pineau, Nicholas Roy:
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs. ICML 2008: 256-263 - [c37]Finale Doshi, Joelle Pineau, Nicholas Roy:
Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs. ISAIM 2008 - 2007
- [c32]Finale Doshi, Nicholas Roy:
Efficient Model Learning for Dialog Management. AAAI Spring Symposium: Multidisciplinary Collaboration for Socially Assistive Robotics 2007: 7-14 - [c31]Finale Doshi, Nicholas Roy:
Efficient model learning for dialog management. HRI 2007: 65-72 - [c29]Finale Doshi, Emma Brunskill, Alexander C. Shkolnik, Thomas Kollar, Khashayar Rohanimanesh, Russ Tedrake, Nicholas Roy:
Collision detection in legged locomotion using supervised learning. IROS 2007: 317-322
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