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Amy R. Greenwald :
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Jeffrey O. Kephart , Amy R. Greenwald Shopbot Economics. [Citation Graph (1, 0)][DBLP ] ESCQARU, 1999, pp:208-220 [Conf ] Amy R. Greenwald , Jeffrey O. Kephart Shopbots and Pricebots. [Citation Graph (1, 0)][DBLP ] IJCAI, 1999, pp:506-511 [Conf ] Amy R. Greenwald , Jeffrey O. Kephart , Gerald Tesauro Strategic pricebot dynamics. [Citation Graph (1, 0)][DBLP ] ACM Conference on Electronic Commerce, 1999, pp:58-67 [Conf ] Jeffrey O. Kephart , James E. Hanson , Amy R. Greenwald Dynamic pricing by software agents. [Citation Graph (1, 0)][DBLP ] Computer Networks, 2000, v:32, n:6, pp:731-752 [Journal ] Michael P. Wellman , Amy R. Greenwald , Peter Stone , Peter R. Wurman The 2001 Trading Agent Competition. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 2002, pp:935-0 [Conf ] Amy R. Greenwald , Jeffrey O. Kephart Probabilistic pricebots. [Citation Graph (0, 0)][DBLP ] Agents, 2001, pp:560-567 [Conf ] Jeffrey O. Kephart , Amy R. Greenwald Shopbot Economics. [Citation Graph (0, 0)][DBLP ] Agents, 1999, pp:378-379 [Conf ] Michael Benisch , Amy R. Greenwald , I. Grypari , Reeva M. Lederman , Victor Naroditskiy , Michael Carl Tschantz Botticelli: A Supply Chain Management Agent. [Citation Graph (0, 0)][DBLP ] AAMAS, 2004, pp:1174-1181 [Conf ] Amy R. Greenwald , Amir Jafari A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria. [Citation Graph (0, 0)][DBLP ] COLT, 2003, pp:2-12 [Conf ] Amy R. Greenwald , Karthik Kannan , Ramayya Krishnan A Computational Approach to Compare Information Revelation Policies. [Citation Graph (0, 0)][DBLP ] ICIS, 2003, pp:706-719 [Conf ] Amy R. Greenwald , Keith Hall Correlated Q-Learning. [Citation Graph (0, 0)][DBLP ] ICML, 2003, pp:242-249 [Conf ] Amir Jafari , Amy R. Greenwald , David Gondek , Gunes Ercal On No-Regret Learning, Fictitious Play, and Nash Equilibrium. [Citation Graph (0, 0)][DBLP ] ICML, 2001, pp:226-233 [Conf ] Amy R. Greenwald Bidding Marginal Utility in Simultaneous Auctions. [Citation Graph (0, 0)][DBLP ] IJCAI, 2003, pp:1463-1464 [Conf ] Amy R. Greenwald , Jeffrey O. Kephart Shopbots and Pricebots. [Citation Graph (0, 0)][DBLP ] Agent Mediated Electronic Commerce (IJCAI Workshop), 1999, pp:1-23 [Conf ] Seong Jae Lee , Amy R. Greenwald , Victor Naroditskiy RoxyBot-06: An (SAA)2 TAC Travel Agent. [Citation Graph (0, 0)][DBLP ] IJCAI, 2007, pp:1378-1383 [Conf ] Martin Zinkevich , Amy R. Greenwald , Michael L. Littman Cyclic Equilibria in Markov Games. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Joan Morris DiMicco , Amy R. Greenwald , Pattie Maes Dynamic pricing strategies under a finite time horizon. [Citation Graph (0, 0)][DBLP ] ACM Conference on Electronic Commerce, 2001, pp:95-104 [Conf ] Michael Benisch , Amy R. Greenwald , Victor Naroditskiy , Michael Carl Tschantz A stochastic programming approach to scheduling in TAC SCM. [Citation Graph (0, 0)][DBLP ] ACM Conference on Electronic Commerce, 2004, pp:152-159 [Conf ] Justin A. Boyan , Amy R. Greenwald Bid determination in simultaneous actions an agent architecture. [Citation Graph (0, 0)][DBLP ] ACM Conference on Electronic Commerce, 2001, pp:210-212 [Conf ] Amy R. Greenwald , Justin A. Boyan Bidding algorithms for simultaneous auctions. [Citation Graph (0, 0)][DBLP ] ACM Conference on Electronic Commerce, 2001, pp:115-124 [Conf ] Jeffrey O. Kephart , Amy R. Greenwald Shopbot Economics. [Citation Graph (0, 0)][DBLP ] Autonomous Agents and Multi-Agent Systems, 2002, v:5, n:3, pp:255-287 [Journal ] Amy R. Greenwald The 2002 Trading Agent Competition: An Overview of Agent Strategies. [Citation Graph (0, 0)][DBLP ] AI Magazine, 2003, v:24, n:1, pp:83-91 [Journal ] Peter Stone , Amy R. Greenwald The First International Trading Agent Competition: Autonomous Bidding Agents. [Citation Graph (0, 0)][DBLP ] Electronic Commerce Research, 2005, v:5, n:2, pp:229-265 [Journal ] Joan Morris DiMicco , Pattie Maes , Amy R. Greenwald Learning Curve: A Simulation-Based Approach to Dynamic Pricing. [Citation Graph (0, 0)][DBLP ] Electronic Commerce Research, 2003, v:3, n:3-4, pp:245-276 [Journal ] Mary Ellen Zurko , Amy R. Greenwald Foreword. [Citation Graph (0, 0)][DBLP ] Electronic Commerce Research, 2005, v:5, n:1, pp:5-6 [Journal ] Michael P. Wellman , Amy R. Greenwald , Peter Stone , Peter R. Wurman The 2001 Trading Agent Competition. [Citation Graph (0, 0)][DBLP ] Electronic Markets, 2003, v:13, n:1, pp:- [Journal ] Amy R. Greenwald , Nicholas R. Jennings , Peter Stone Guest Editors' Introduction: Agents and Markets. [Citation Graph (0, 0)][DBLP ] IEEE Intelligent Systems, 2003, v:18, n:6, pp:12-14 [Journal ] Amy R. Greenwald , Peter Stone Autonomous Bidding Agents in the Trading Agent Competition. [Citation Graph (0, 0)][DBLP ] IEEE Internet Computing, 2001, v:5, n:2, pp:52-0 [Journal ] Victor Naroditskiy , Amy R. Greenwald Using Iterated Best-Response to Find Bayes-Nash Equilibria in Auctions. [Citation Graph (0, 0)][DBLP ] AAAI, 2007, pp:1894-1895 [Conf ] John Wicks , Amy R. Greenwald More efficient parallel computation of pagerank. [Citation Graph (0, 0)][DBLP ] SIGIR, 2007, pp:861-862 [Conf ] Amy R. Greenwald , Justin A. Boyan Bidding under Uncertainty: Theory and Experiments. [Citation Graph (0, 0)][DBLP ] UAI, 2004, pp:209-216 [Conf ] John Wicks , Amy R. Greenwald An Algorithm for Computing Stochastically Stable Distributions with Applications to Multiagent Learning in Repeated Games. [Citation Graph (0, 0)][DBLP ] UAI, 2005, pp:623-632 [Conf ] John Wicks , Amy R. Greenwald Parallelizing the Computation of PageRank. [Citation Graph (0, 0)][DBLP ] WAW, 2007, pp:202-208 [Conf ] Martin Zinkevich , Amy R. Greenwald , Michael L. Littman A hierarchy of prescriptive goals for multiagent learning. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 2007, v:171, n:7, pp:440-447 [Journal ] Amy R. Greenwald , Michael L. Littman Introduction to the special issue on learning and computational game theory. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2007, v:67, n:1-2, pp:3-6 [Journal ] Marginal Bidding: An Application of the Equimarginal Principle to Bidding in TAC SCM. [Citation Graph (, )][DBLP ] More Efficient Internal-Regret-Minimizing Algorithms. [Citation Graph (, )][DBLP ] A Knapsack-Based Approach to Bidding in Ad Auctions. [Citation Graph (, )][DBLP ] No-regret learning in convex games. [Citation Graph (, )][DBLP ] Destroy to save. [Citation Graph (, )][DBLP ] Search in 0.061secs, Finished in 0.063secs