Optimal Factory Scheduling Using Stochastic Dominance A*. - Peter R. Wurman (AAAI/IAAI, Vol. 2, 1996)

Optimal Factory Scheduling using Stochastic Dominance A*. - Peter R. Wurman; Michael P. Wellman (UAI, 1996)

The Michigan Internet AcutionBot: A Configuarable Auction Server for Human and Software Agents. - Peter R. Wurman; Michael P. Wellman; William E. Walsh (Agents, 1998)

Some Economics of Market-Based Distributed Scheduling. - William E. Walsh; Michael P. Wellman; Peter R. Wurman; Jeffrey K. MacKie-Mason (ICDCS, 1998)

Flexible double auctions for electronic commerce: theory and implementation. - Peter R. Wurman; William E. Walsh; Michael P. Wellman (Decis. Support Syst., 1998)

Market-aware agents for a multiagent world. - Michael P. Wellman; Peter R. Wurman (Robotics Auton. Syst., 1998)

Market structure and multidimensional auction design for computational economies. - Peter R. Wurman (1999)

AkBA: a progressive, anonymous-price combinatorial auction. - Peter R. Wurman; Michael P. Wellman (EC, 2000)

Auction Protocols for Decentralized Scheduling. - Michael P. Wellman; William E. Walsh; Peter R. Wurman; Jeffrey K. MacKie-Mason (Games Econ. Behav., 2001)

A Parametrization of the Auction Design Space. - Peter R. Wurman; Michael P. Wellman; William E. Walsh (Games Econ. Behav., 2001)

Designing the Market Game for a Trading Agent Competition. - Michael P. Wellman; Peter R. Wurman; Kevin O'Malley; Roshan Bangera; Shou-De Lin; Daniel M. Reeves; William E. Walsh (IEEE Internet Comput., 2001)

Guest Editor's Introduction: Dynamic Pricing in the Virtual Marketplace. - Peter R. Wurman (IEEE Internet Comput., 2001)

Editorials. - Peter R. Wurman (SIGecom Exch., 2001)

Structural Leverage and Fictitious Play in Sequential Auctions. - Weili Zhu; Peter R. Wurman (AAAI/IAAI, 2002)

Mining eBay: Bidding Strategies and Shill Detection. - Harshit S. Shah; Neeraj R. Joshi; Ashish Sureka; Peter R. Wurman (WEBKDD, 2002)

Applying the Generalized Vickrey Auction to Pricing Reliable Multicasts. - Ashish Sureka; Peter R. Wurman (QofIS, 2002)

Specifying Rules for Electronic Auctions. - Peter R. Wurman; Michael P. Wellman; William E. Walsh (AI Mag., 2002)

Editor's note. - Peter R. Wurman (SIGecom Exch., 2002)

A comparison of two algorithms for multi-unit k-double auctions. - Shengli Bao; Peter R. Wurman (ICEC, 2003)

An algorithm for computing the outcome of combinatorial auctions with proxy bidding. - Peter R. Wurman; Gangshu Cai; Jie Zhong; Ashish Sureka (ICEC, 2003)

Electronic Commerce Technologies Track Editorial. - Sviatoslav B. Braynov; Peter R. Wurman (SAC, 2003)

Computing the outcome of proxy bidding in combinatorial auctions extended abstract. - Peter R. Wurman; Gangshu Cai; Ashish Sureka (EC, 2003)

The 2001 Trading Agent Competition. - Michael P. Wellman; Amy Greenwald; Peter Stone 001; Peter R. Wurman (Electron. Mark., 2003)

Letter from the new chair. - Michael P. Wellman; Daniel A. Menascé; Peter R. Wurman (SIGecom Exch., 2003)

Editor's introduction. - Peter R. Wurman (SIGecom Exch., 2003)

Computing price trajectories in combinatorial auctions with proxy bidding. - Peter R. Wurman; Jie Zhong; Gangshu Cai (Electron. Commer. Res. Appl., 2004)

PackaTAC: a conservative trading agent. - Erik Dahlgren; Peter R. Wurman (SIGecom Exch., 2004)

Experiments with planning and markets in multiagent systems. - Naveenkumar Muguda; Peter R. Wurman; R. Michael Young (SIGecom Exch., 2004)

Using tabu best-response search to find pure strategy nash equilibria in normal form games. - Ashish Sureka; Peter R. Wurman (AAMAS, 2005)

Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions. - Ashish Sureka; Peter R. Wurman (GECCO, 2005)

Editorial message: special track on e-commerce technologies. - Sviatoslav B. Braynov; Manuel Núñez 001; Peter R. Wurman (SAC, 2005)

An Auction for Scheduling Delivery of Highly Demanded Products. - Sameer Korrapati; Peter R. Wurman (CEC, 2005)

A Framework for Computing the Outcome of Proxied Combinatorial Auctions. - Jie Zhong; Peter R. Wurman (CEC, 2005)

Monte Carlo approximation in incomplete information, sequential auction games. - Gangshu Cai; Peter R. Wurman (Decis. Support Syst., 2005)

The game of scale: decision making with economies of scale. - Christopher J. Hazard; Peter R. Wurman (ICEC, 2007)

The constraints of the valuation distribution for solving a class of games by using a best response algorithm. - Gangshu Cai; Jie Zhong; Peter R. Wurman (Int. J. Manuf. Technol. Manag., 2007)

PBA*: Using Proactive Search to Make A* Robust to Unplanned Deviations. - Paul Breimyer; Peter R. Wurman (AAAI, 2008)

Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses. - Peter R. Wurman; Raffaello D'Andrea; Mick Mountz (AI Mag., 2008)

A Note on Discrete Bid First-Price Auction with General Value Distribution. - Gangshu (George) Cai; Peter R. Wurman; Xiting Gong (IGTR, 2010)

Optimization and Coordinated Autonomy in Mobile Fulfillment Systems. - John Enright; Peter R. Wurman (Automated Action Planning for Autonomous Mobile Robots, 2011)

The Amazon Picking Challenge 2015 [Competitions]. - Peter R. Wurman; Joseph M. Romano (IEEE Robotics Autom. Mag., 2015)

The Amazon Picking Challenge. - Peter R. Wurman; Joseph M. Romano (AI Mag., 2016)

Lessons from the Amazon Picking Challenge. - Nikolaus Correll; Kostas E. Bekris; Dmitry Berenson; Oliver Brock; Albert J. Causo; Kris Hauser; Kei Okada; Alberto Rodriguez 003; Joseph M. Romano; Peter R. Wurman (CoRR, 2016)

Analysis and Observations From the First Amazon Picking Challenge. - Nikolaus Correll; Kostas E. Bekris; Dmitry Berenson; Oliver Brock; Albert J. Causo; Kris Hauser; Kei Okada; Alberto Rodriguez 003; Joseph M. Romano; Peter R. Wurman (IEEE Trans Autom. Sci. Eng., 2018)

Reinforcement Learning for Optimization of COVID-19 Mitigation Policies. - Varun Raj Kompella; Roberto Capobianco; Stacy Jong; Jonathan Browne; Spencer J. Fox; Lauren Ancel Meyers; Peter R. Wurman; Peter Stone 001 (AI4SG@AAAI Fall Symposium, 2020)

Efficient Real-Time Inference in Temporal Convolution Networks. - Piyush Khandelwal; James MacGlashan; Peter R. Wurman; Peter Stone 001 (ICRA, 2021)

Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies. - Roberto Capobianco; Varun Raj Kompella; James Ault; Guni Sharon; Stacy Jong; Spencer J. Fox; Lauren Ancel Meyers; Peter R. Wurman; Peter Stone 001 (J. Artif. Intell. Res., 2021)

Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. - James MacGlashan; Evan Archer; Alisa Devlic; Takuma Seno; Craig Sherstan; Peter R. Wurman; Peter Stone 001 (NeurIPS, 2022)

Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing. - Peter R. Wurman; Peter Stone 001; Michael Spranger (IEEE Intell. Syst., 2022)

Outracing champion Gran Turismo drivers with deep reinforcement learning. - Peter R. Wurman; Samuel Barrett; Kenta Kawamoto; James MacGlashan; Kaushik Subramanian; Thomas J. Walsh 001; Roberto Capobianco; Alisa Devlic; Franziska Eckert; Florian Fuchs 004; Leilani Gilpin; Piyush Khandelwal; et al. (Nat., 2022)

Composing Efficient, Robust Tests for Policy Selection. - Dustin Morrill; Thomas J. Walsh 001; Daniel Hernandez; Peter R. Wurman; Peter Stone 001 (UAI, 2023)

Event Tables for Efficient Experience Replay. - Varun Raj Kompella; Thomas Walsh 001; Samuel Barrett; Peter R. Wurman; Peter Stone 001 (Trans. Mach. Learn. Res., 2023)

Real-Time Trajectory Generation via Dynamic Movement Primitives for Autonomous Racing. - Catherine Weaver; Roberto Capobianco; Peter R. Wurman; Peter Stone 001; Masayoshi Tomizuka (ACC, 2024)

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration. - Borja G. León; Francesco Riccio; Kaushik Subramanian; Peter R. Wurman; Peter Stone 001 (NeurIPS, 2024)

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. - Miguel Vasco; Takuma Seno; Kenta Kawamoto; Kaushik Subramanian; Peter R. Wurman; Peter Stone 001 (RLJ, 2024)

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. - Hojoon Lee; Dongyoon Hwang; Donghu Kim; Hyunseung Kim; Jun Jet Tai; Kaushik Subramanian; Peter R. Wurman; Jaegul Choo; Peter Stone 001; Takuma Seno (ICLR, 2025)

A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7. - Hojoon Lee; Takuma Seno; Jun Jet Tai; Kaushik Subramanian; Kenta Kawamoto; Peter Stone 001; Peter R. Wurman (IEEE Robotics Autom. Lett., 2025)