Publications with keyword "Game theory"
| 1. | N. Burch, M. Schmid, M. Moravcik, D. Morrill, M. Bowling. "AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games". National Conference on Artificial Intelligence (AAAI), (ed: Sheila A. McIlraith, Kilian Q. Weinberger), pp 949-956, February 2018.   |
| 2. | J. Wright, K. Leyton-Brown. "Predicting Human Behavior in Unrepeated, Simultaneous-Move Games". Games and Economic Behavior, 106, pp 16-37, November 2017. |
| 3. | Y. Zhang, M. Müller. "TDS+: Improving Temperature Discovery Search". National Conference on Artificial Intelligence (AAAI), (ed: Blai Bonet, Sven Koenig), pp 1241-1247, January 2015. |
| 4. | J. Wright, K. Leyton-Brown. "Level-0 Meta-Models for Predicting Human Behavior in Games". ACM Conference on Economics and Computation, Palo Alto, USA, (ed: Moshe Babaioff, Vincent Conitzer, David A. Easley), pp 857-873, June 2014. |
| 5. | J. Wright, K. Leyton-Brown. "Behavioral game theoretic models: a Bayesian framework for parameter analysis.". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp 921-930, June 2012. |
| 6. | K. Waugh, N. Bard, M. Bowling. "Strategy Grafting in Extensive Games". Neural Information Processing Systems (NIPS), (ed: Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta), pp 2026--2034, December 2009. |
| 7. | M. Johanson, M. Zinkevich, M. Bowling. "Computing Robust Counter-Strategies". Neural Information Processing Systems (NIPS), (ed: J.C. Platt, D. Koller, Y. Singer, S. Roweis), pp 721--728, December 2007. |
| 8. | M. Zinkevich, M. Johanson, M. Bowling, C. Piccione. "Regret Minimization in Games with Incomplete Information". Neural Information Processing Systems (NIPS), (ed: J.C. Platt, D. Koller, Y. Singer, S. Roweis), pp 1729--1736, December 2007. |
| 9. | M. Bowling. "Multiagent learning in the presence of agents with limitations". PhD Thesis, Carnegie Mellon University, May 2003. |
| 10. | M. Bowling, M. Veloso. "Multiagent learning using a variable learning rate". Artificial Intelligence (AIJ), 136, pp 215--250, January 2002. |
