Peter R. Wurman

79 papers A* 9A 6B 2C 4Misc 3Journal 46Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy. AAAI Bram Grooten, Patrick MacAlpine, Kaushik Subramanian, Peter Stone, Peter R. Wurman
2026	J	`jnl`	The Trajectory Alignment Coefficient in Two Acts: From Reward Tuning to Reward Learning. CoRR Calarina Muslimani, Yunshu Du, Kenta Kawamoto, Kaushik Subramanian, Peter Stone, Peter R. Wurman
2025	J	`jnl`	A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7. IEEE Robotics Autom. Lett. Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter R. Wurman
2025	J	`jnl`	A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7. CoRR Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter R. Wurman
2025	J	`jnl`	Automated Reward Design for Gran Turismo. CoRR Michel Ma, Takuma Seno, Kaushik Subramanian, Peter R. Wurman, Peter Stone, Craig Sherstan
2025	J	`jnl`	Fair human-centric image dataset for ethical AI benchmarking. Nat. Alice Xiang, Jerone T. A. Andrews, Rebecca Bourke, William Thong, Julienne LaChance, Tiffany Georgievski, Apostolos Modas, Aida Rahmattalabbi, Yunhao Ba, Shruti Nagpal, Orestis Papakyriakopoulos, Dora Zhao, Jinru Xue, Victoria Matthews, Linxia Gong, Austin Hoag, Mircea Cimpoi, Swami Sankaranarayanan, Wiebke Hutiri, Morgan Klaus Scheuerman, Albert S. Abedi, Peter Stone, Peter R. Wurman, Hiroaki Kitano, Michael Spranger
2025	J	`jnl`	Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy. CoRR Bram Grooten, Patrick MacAlpine, Kaushik Subramanian, Peter Stone, Peter R. Wurman
2025	A*	`conf`	SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. ICLR Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno
2024	J	`jnl`	A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. RLJ Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone
2024	J	`jnl`	A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. CoRR Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone
2024	A*	`conf`	Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration. NeurIPS Borja G. León, Francesco Riccio, Kaushik Subramanian, Peter R. Wurman, Peter Stone
2024	C	`conf`	Real-Time Trajectory Generation via Dynamic Movement Primitives for Autonomous Racing. ACC Catherine Weaver, Roberto Capobianco, Peter R. Wurman, Peter Stone, Masayoshi Tomizuka
2024	J	`jnl`	SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. CoRR Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno
2023	A	`conf`	Composing Efficient, Robust Tests for Policy Selection. UAI Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
2023	J	`jnl`	Composing Efficient, Robust Tests for Policy Selection. CoRR Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
2023	J	`jnl`	Event Tables for Efficient Experience Replay. Trans. Mach. Learn. Res. Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone
2022	J	`jnl`	Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing. IEEE Intell. Syst. Peter R. Wurman, Peter Stone, Michael Spranger
2022	J	`jnl`	Event Tables for Efficient Experience Replay. CoRR Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone
2022	J	`jnl`	Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Raj Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
2022	A*	`conf`	Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. NeurIPS James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2022	J	`jnl`	Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. CoRR James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2021	J	`jnl`	Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies. J. Artif. Intell. Res. Roberto Capobianco, Varun Raj Kompella, James Ault, Guni Sharon, Stacy Jong, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
2021	A*	`conf`	Efficient Real-Time Inference in Temporal Convolution Networks. ICRA Piyush Khandelwal, James MacGlashan, Peter R. Wurman, Peter Stone
2020	—	`conf`	Reinforcement Learning for Optimization of COVID-19 Mitigation Policies. AI4SG@AAAI Fall Symposium Varun Raj Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
2020	J	`jnl`	Reinforcement Learning for Optimization of COVID-19 Mitigation policies. CoRR Varun Raj Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
2018	J	`jnl`	Analysis and Observations From the First Amazon Picking Challenge. IEEE Trans Autom. Sci. Eng. Nikolaus Correll, Kostas E. Bekris, Dmitry Berenson, Oliver Brock, Albert J. Causo, Kris Hauser, Kei Okada, Alberto Rodriguez, Joseph M. Romano, Peter R. Wurman
2016	J	`jnl`	Lessons from the Amazon Picking Challenge. CoRR Nikolaus Correll, Kostas E. Bekris, Dmitry Berenson, Oliver Brock, Albert J. Causo, Kris Hauser, Kei Okada, Alberto Rodriguez, Joseph M. Romano, Peter R. Wurman
2016	J	`jnl`	The Amazon Picking Challenge. AI Mag. Peter R. Wurman, Joseph M. Romano
2015	J	`jnl`	The Amazon Picking Challenge 2015 [Competitions]. IEEE Robotics Autom. Mag. Peter R. Wurman, Joseph M. Romano
2013	J	`jnl`	Optimal Factory Scheduling using Stochastic Dominance A* CoRR Peter R. Wurman, Michael P. Wellman
2011	—	`conf`	Optimization and Coordinated Autonomy in Mobile Fulfillment Systems. Automated Action Planning for Autonomous Mobile Robots John Enright, Peter R. Wurman
2010	J	`jnl`	A Note on Discrete Bid First-Price Auction with General Value Distribution. IGTR Gangshu (George) Cai, Peter R. Wurman, Xiting Gong
2008	J	`jnl`	Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses. AI Mag. Peter R. Wurman, Raffaello D'Andrea, Mick Mountz
2008	A*	`conf`	PBA: Using Proactive Search to Make A Robust to Unplanned Deviations. AAAI Paul Breimyer, Peter R. Wurman
2007	A*	`conf`	Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses. AAAI Peter R. Wurman, Raffaello D'Andrea, Mick Mountz
2007	J	`jnl`	The constraints of the valuation distribution for solving a class of games by using a best response algorithm. Int. J. Manuf. Technol. Manag. Gangshu Cai, Jie Zhong, Peter R. Wurman
2007	C	`conf`	The game of scale: decision making with economies of scale. ICEC Christopher J. Hazard, Peter R. Wurman
2005	B	`conf`	A Framework for Computing the Outcome of Proxied Combinatorial Auctions. CEC Jie Zhong, Peter R. Wurman
2005	B	`conf`	An Auction for Scheduling Delivery of Highly Demanded Products. CEC Sameer Korrapati, Peter R. Wurman
2005	A	`conf`	Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions. GECCO Ashish Sureka, Peter R. Wurman
2005	Misc	`conf`	Editorial message: special track on e-commerce technologies. SAC Sviatoslav B. Braynov, Manuel Núñez, Peter R. Wurman
2005	J	`jnl`	Monte Carlo approximation in incomplete information, sequential auction games. Decis. Support Syst. Gangshu Cai, Peter R. Wurman
2005	A	`conf`	Using tabu best-response search to find pure strategy nash equilibria in normal form games. AAMAS Ashish Sureka, Peter R. Wurman
2004	J	`jnl`	Computing price trajectories in combinatorial auctions with proxy bidding. Electron. Commer. Res. Appl. Peter R. Wurman, Jie Zhong, Gangshu Cai
2004	Misc	`conf`	Editorial message: special track on E-commerce technologies. SAC Sviatoslav B. Braynov, Manuel Núñez, Peter R. Wurman
2004	A	`conf`	Experiments with Planning and Markets in Multiagent Systems. AAMAS Naveenkumar Muguda, Peter R. Wurman, R. Michael Young
2004	J	`jnl`	Experiments with planning and markets in multiagent systems. SIGecom Exch. Naveenkumar Muguda, Peter R. Wurman, R. Michael Young
2004	J	`jnl`	PackaTAC: a conservative trading agent. SIGecom Exch. Erik Dahlgren, Peter R. Wurman
2003	C	`conf`	A comparison of two algorithms for multi-unit ICEC Shengli Bao, Peter R. Wurman
2003	C	`conf`	An algorithm for computing the outcome of combinatorial auctions with proxy bidding. ICEC Peter R. Wurman, Gangshu Cai, Jie Zhong, Ashish Sureka
2003	A*	`conf`	Computing the outcome of proxy bidding in combinatorial auctions extended abstract. EC Peter R. Wurman, Gangshu Cai, Ashish Sureka
2003	J	`jnl`	Editor's introduction. SIGecom Exch. Peter R. Wurman
2003	J	`jnl`	Editor's introduction. SIGecom Exch. Peter R. Wurman
2003	Misc	`conf`	Electronic Commerce Technologies Track Editorial. SAC Sviatoslav B. Braynov, Peter R. Wurman
2003	J	`jnl`	Letter from the new chair. SIGecom Exch. Michael P. Wellman, Daniel A. Menascé, Peter R. Wurman
2003	J	`jnl`	The 2001 Trading Agent Competition. Electron. Mark. Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman
2002	—	`conf`	Applying the Generalized Vickrey Auction to Pricing Reliable Multicasts. QofIS Ashish Sureka, Peter R. Wurman
2002	J	`jnl`	Editor's note. SIGecom Exch. Peter R. Wurman
2002	J	`jnl`	Editor's note. SIGecom Exch. Peter R. Wurman
2002	—	`conf`	Mining eBay: Bidding Strategies and Shill Detection. WebKDD Harshit S. Shah, Neeraj R. Joshi, Ashish Sureka, Peter R. Wurman
2002	J	`jnl`	Specifying Rules for Electronic Auctions. AI Mag. Peter R. Wurman, Michael P. Wellman, William E. Walsh
2002	—	`conf`	Structural Leverage and Fictitious Play in Sequential Auctions. AAAI/IAAI Weili Zhu, Peter R. Wurman
2002	—	`conf`	The 2001 Trading Agent Competition. AAAI/IAAI Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman
2001	J	`jnl`	A Parametrization of the Auction Design Space. Games Econ. Behav. Peter R. Wurman, Michael P. Wellman, William E. Walsh
2001	J	`jnl`	Auction Protocols for Decentralized Scheduling. Games Econ. Behav. Michael P. Wellman, William E. Walsh, Peter R. Wurman, Jeffrey K. MacKie-Mason
2001	J	`jnl`	Designing the Market Game for a Trading Agent Competition. IEEE Internet Comput. Michael P. Wellman, Peter R. Wurman, Kevin O'Malley, Roshan Bangera, Shou-De Lin, Daniel M. Reeves, William E. Walsh
2001	J	`jnl`	Editorials. SIGecom Exch. Peter R. Wurman
2001	J	`jnl`	Editorials. SIGecom Exch. Peter R. Wurman
2001	J	`jnl`	Editorials. SIGecom Exch. Peter R. Wurman
2001	J	`jnl`	Guest Editor's Introduction: Dynamic Pricing in the Virtual Marketplace. IEEE Internet Comput. Peter R. Wurman
2000	A*	`conf`	A EC Peter R. Wurman, Michael P. Wellman
2000	J	`jnl`	Editorials. SIGecom Exch. Peter R. Wurman
1999	—	`—`	Market structure and multidimensional auction design for computational economies. Peter R. Wurman
1998	J	`jnl`	Flexible double auctions for electronic commerce: theory and implementation. Decis. Support Syst. Peter R. Wurman, William E. Walsh, Michael P. Wellman
1998	J	`jnl`	Market-aware agents for a multiagent world. Robotics Auton. Syst. Michael P. Wellman, Peter R. Wurman
1998	A	`conf`	Some Economics of Market-Based Distributed Scheduling. ICDCS William E. Walsh, Michael P. Wellman, Peter R. Wurman, Jeffrey K. MacKie-Mason
1998	—	`conf`	The Michigan Internet AcutionBot: A Configuarable Auction Server for Human and Software Agents. Agents Peter R. Wurman, Michael P. Wellman, William E. Walsh
1996	—	`conf`	Optimal Factory Scheduling Using Stochastic Dominance A*. AAAI/IAAI, Vol. 2 Peter R. Wurman
1996	A	`conf`	Optimal Factory Scheduling using Stochastic Dominance A*. UAI Peter R. Wurman, Michael P. Wellman