Roy, Nicholas

34 publications

CoRL 2025 Streaming Flow Policy: Simplifying Diffusion/flow-Matching Policies by Treating Action Trajectories as Flow Trajectories Sunshine Jiang, Xiaolin Fang, Nicholas Roy, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Siddharth Ancha

ICML 2022 Tell Me Why! Explanations Support Learning Relational and Causal Structure Andrew K Lampinen, Nicholas Roy, Ishita Dasgupta, Stephanie Cy Chan, Allison Tam, James Mcclelland, Chen Yan, Adam Santoro, Neil C Rabinowitz, Jane Wang, Felix Hill

AAAI 2020 Task and Motion Planning Is PSPACE-Complete William Vega-Brown, Nicholas Roy

CoRL 2019 Inferring Task Goals and Constraints Using Bayesian Nonparametric Inverse Reinforcement Learning Daehyung Park, Michael Noseworthy, Rohan Paul, Subhro Roy, Nicholas Roy

CoRL 2019 Task-Conditioned Variational Autoencoders for Learning Movement Primitives Michael Noseworthy, Rohan Paul, Subhro Roy, Daehyung Park, Nicholas Roy

IJCAI 2018 Admissible Abstractions for Near-Optimal Task and Motion Planning William Vega-Brown, Nicholas Roy

CoRL 2018 Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge Daniel Nyga, Subhro Roy, Rohan Paul, Daehyung Park, Mihai Pomarlan, Michael Beetz, Nicholas Roy

CoRL 2018 Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments Gregory J. Stein, Christopher Bradley, Nicholas Roy

ICCV 2017 FLaME: Fast Lightweight Mesh Estimation Using Variational Smoothing on Delaunay Graphs W. Nicholas Greene, Nicholas Roy

IJCAI 2017 Grounding Abstract Spatial Concepts for Language Interaction with Robots Rohan Paul, Jacob Arkin, Nicholas Roy, Thomas M. Howard

IJCAI 2017 Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context Rohan Paul, Andrei Barbu, Sue Felshin, Boris Katz, Nicholas Roy

MLJ 2014 Learning Perceptually Grounded Word Meanings from Unaligned Parallel Data Stefanie Tellex, Pratiksha Thaker, Joshua Mason Joseph, Nicholas Roy

FnTML 2013 A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning Alborz Geramifard, Thomas J. Walsh, Stefanie Tellex, Girish Chowdhary, Nicholas Roy, Jonathan P. How

UAI 2013 Batch-iFDD for Representation Expansion in Large MDPs Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan P. How

JAIR 2012 Modelling Observation Correlations for Active Exploration and Robust Object Detection Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy

IJCAI 2011 Active Exploration for Robust Object Detection Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy

JAIR 2011 Efficient Planning Under Uncertainty with Macro-Actions Ruijie He, Emma Brunskill, Nicholas Roy

ICML 2011 Infinite Dynamic Bayesian Networks Finale Doshi, David Wingate, Joshua B. Tenenbaum, Nicholas Roy

ICML 2011 Online Discovery of Feature Dependencies Alborz Geramifard, Finale Doshi, Josh Redding, Nicholas Roy, Jonathan P. How

AAAI 2011 Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth J. Teller, Nicholas Roy

AAAI 2010 A Bayesian Nonparametric Approach to Modeling Mobility Patterns Joshua Mason Joseph, Finale Doshi-Velez, Nicholas Roy

NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning Finale Doshi-velez, David Wingate, Nicholas Roy, Joshua B. Tenenbaum

AAAI 2010 PUMA: Planning Under Uncertainty with Macro-Actions Ruijie He, Emma Brunskill, Nicholas Roy

JMLR 2009 Provably Efficient Learning with Typed Parametric Models Emma Brunskill, Bethany R. Leffler, Lihong Li, Michael L. Littman, Nicholas Roy

UAI 2008 CORL: A Continuous-State Offset-Dynamics Reinforcement Learner Emma Brunskill, Bethany R. Leffler, Lihong Li, Michael L. Littman, Nicholas Roy

AAAI 2008 Efficient Optimization of Information-Theoretic Exploration in SLAM Thomas Kollar, Nicholas Roy

ICML 2008 Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs Finale Doshi, Joelle Pineau, Nicholas Roy

JAIR 2005 Finding Approximate POMDP Solutions Through Belief Compression Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun

AAAI 2002 Experiences with a Mobile Robotic Guide for the Elderly Michael Montemerlo, Joelle Pineau, Nicholas Roy, Sebastian Thrun, Vandi Verma

NeurIPS 2002 Exponential Family PCA for Belief Compression in POMDPs Nicholas Roy, Geoffrey J. Gordon

ICML 2001 Toward Optimal Active Learning Through Sampling Estimation of Error Reduction Nicholas Roy, Andrew McCallum

NeurIPS 1999 Coastal Navigation with Mobile Robots Nicholas Roy, Sebastian Thrun

AAAI 1997 Autonomous Exploration: An Integrated Systems Approach Marc Bolduc, Eric Bourque, Gregory Dudek, Nicholas Roy, Robert Sim

AAAI 1996 Mobile Robot Navigation and Control: A Case Study Nicholas Roy, Gregory Dudek, Michael Daum