| 2024 | ICML | Position: Amazing Things Come From Having Many Good Models. | Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner |
| 2019 | ICML | Revisiting the Softmax Bellman Operator: New Benefits and New Perspective. | Zhao Song, Ronald Parr, Lawrence Carin |
| 2016 | AAAI | Distance Minimization for Reward Learning from Scored Trajectories. | Benjamin Burchfiel, Carlo Tomasi, Ronald Parr |
| 2016 | AAAI | Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates. | Jason Pazis, Ronald Parr |
| 2014 | ICRA | Unsupervised discovery of object classes with a mobile robot. | Julian Mason, Bhaskara Marthi, Ronald Parr |
| 2013 | AAAI | PAC Optimal Exploration in Continuous Space Markov Decision Processes. | Jason Pazis, Ronald Parr |
| 2013 | AAAI | Sample Complexity and Performance Bounds for Non-Parametric Approximate Linear Programming. | Jason Pazis, Ronald Parr |
| 2012 | AAAI | Computing Optimal Strategies to Commit to in Stochastic Games. | Joshua Letchford, Liam MacDermed, Vincent Conitzer, Ronald Parr, Charles L. Isbell Jr. |
| 2012 | ICML | Greedy Algorithms for Sparse Reinforcement Learning. | Christopher Painter-Wakefield, Ronald Parr |
| 2012 | IROS | Object disappearance for object discovery. | Julian Mason, Bhaskara Marthi, Ronald Parr |
| 2012 | UAI | Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear Programs. | Gavin Taylor, Ronald Parr |
| 2011 | AAAI | Non-Parametric Approximate Linear Programming for MDPs. | Jason Pazis, Ronald Parr |
| 2011 | ICML | Generalized Value Functions for Large Action Sets. | Jason Pazis, Ronald Parr |
| 2011 | IJCAI | Security Games with Multiple Attacker Resources. | Dmytro Korzhyk, Vincent Conitzer, Ronald Parr |
| 2011 | ICRA | Textured occupancy grids for monocular localization without features. | Julian Mason, Susanna Ricco, Ronald Parr |
| 2010 | AAAI | Complexity of Computing Optimal Stackelberg Strategies in Security Resource Allocation Games. | Dmytro Korzhyk, Vincent Conitzer, Ronald Parr |
| 2010 | ICML | Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes. | Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zilberstein |
| 2009 | ICML | Kernelized value function approximation for reinforcement learning. | Gavin Taylor, Ronald Parr |
| 2009 | IJCAI | Multi-Step Multi-Sensor Hider-Seeker Games. | Erik Halvorson, Vincent Conitzer, Ronald Parr |
| 2008 | ICML | An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning. | Ronald Parr, Lihong Li, Gavin Taylor, Christopher Painter-Wakefield, Michael L. Littman |
| 2008 | ISAIM | Planning Aims for a Network of Horizontal and Overhead Sensors. | Erik Halvorson, Ronald Parr |
| 2008 | WAFR | Planning Aims for a Network of Horizontal and Overhead Sensors. | Erik Halvorson, Ronald Parr |
| 2007 | AAAI | Point-Based Policy Iteration. | Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin |
| 2007 | ICML | Analyzing feature generation for value-function approximation. | Ronald Parr, Christopher Painter-Wakefield, Lihong Li, Michael L. Littman |
| 2006 | UAI | Efficient Selection of Disambiguating Actions for Stereo Vision. | Monika Schaeffer, Ronald Parr |
| 2004 | ICML | Learning probabilistic motion models for mobile robots. | Austin I. Eliazar, Ronald Parr |
| 2004 | ICRA | DP-SLAM 2.0. | Austin I. Eliazar, Ronald Parr |
| 2003 | ICML | Reinforcement Learning as Classification: Leveraging Modern Classifiers. | Michail G. Lagoudakis, Ronald Parr |
| 2003 | IJCAI | DP-SLAM: Fast, Robust Simultaneous Localization and Mapping Without Predetermined Landmarks. | Austin I. Eliazar, Ronald Parr |
| 2003 | IJCAI | Approximate Policy Iteration using Large-Margin Classifiers. | Michail G. Lagoudakis, Ronald Parr |
| 2002 | ICML | Coordinated Reinforcement Learning. | Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr |
| 2002 | UAI | Value Function Approximation in Zero-Sum Markov Games. | Michail G. Lagoudakis, Ronald Parr |
| 2002 | VLDB | XPathLearner: An On-line Self-Tuning Markov Histogram for XML Path Selectivity Estimation. | Lipyeow Lim, Min Wang, Sriram Padmanabhan, Jeffrey Scott Vitter, Ronald Parr |
| 2001 | IJCAI | Max-norm Projections for Factored MDPs. | Carlos Guestrin, Daphne Koller, Ronald Parr |
| 2001 | UAI | Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms. | Uri Lerner, Ronald Parr |
| 2000 | AAAI | Making Rational Decisions Using Adaptive Utility Elicitation. | Urszula Chajewska, Daphne Koller, Ronald Parr |
| 2000 | AAAI | Bayesian Fault Detection and Diagnosis in Dynamic Systems. | Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas |
| 2000 | UAI | Policy Iteration for Factored MDPs. | Daphne Koller, Ronald Parr |
| 1999 | IJCAI | Computing Factored Value Functions for Policies in Structured MDPs. | Daphne Koller, Ronald Parr |
| 1998 | UAI | Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems. | Ronald Parr |
| 1995 | IJCAI | Approximating Optimal Policies for Partially Observable Stochastic Domains. | Ronald Parr, Stuart Russell |
| 1993 | IJCAI | Provably Bounded Optimal Agents. | Stuart J. Russell, Devika Subramanian, Ronald Parr |