-
3
-
-
0031281590
-
Learning through reinforcement and replicator dynamics
-
November
-
T. Borgers and R. Sarin. Learning through reinforcement and replicator dynamics. Journal of Economic Theory, 77(1), November 1997.
-
(1997)
Journal of Economic Theory
, vol.77
, Issue.1
-
-
Borgers, T.1
Sarin, R.2
-
5
-
-
0036531878
-
Multiagent learning using a variable learning rate
-
Michael Bowling and Manuela Veloso. Multiagent learning using a variable learning rate. Artificial Intelligence, 136:215-250, 2002.
-
(2002)
Artificial Intelligence
, vol.136
, pp. 215-250
-
-
Bowling, M.1
Veloso, M.2
-
6
-
-
33947541888
-
Game theory, political economy, and the evolving study of war and peace
-
November
-
Bruce Bueno de Mesquita. Game theory, political economy, and the evolving study of war and peace. American Political Science Review, 100(4):637-642, November 2006.
-
(2006)
American Political Science Review
, vol.100
, Issue.4
, pp. 637-642
-
-
De Mesquita, B.B.1
-
8
-
-
84899869594
-
Modelling the dynamics of multiagent q-learning with f-greedy exploration (short paper)
-
Sierra Decker, Sichman and Castelfranchi, editors Budapest, Hungary, May 10-15
-
Eduardo Gomes and Ryszard Kowalczyk. Modelling the dynamics of multiagent q-learning with f-greedy exploration (short paper). In Sierra Decker, Sichman and Castelfranchi, editors, Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009), pages 1181-1182, Budapest, Hungary, May 10-15, 2009.
-
(2009)
Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009)
, pp. 1181-1182
-
-
Gomes, E.1
Kowalczyk, R.2
-
9
-
-
22144491187
-
-
Academic Press
-
Morris W. Hirsch, Stephen Smale, and Robert Dcvaney. Differential Equations, Dynamical Systems, and an Introduction to Chaos. Academic Press, 2002.
-
(2002)
Differential Equations, Dynamical Systems, and an Introduction to Chaos
-
-
Hirsch, M.W.1
Smale, S.2
Dcvaney, R.3
-
12
-
-
84899813108
-
An evolutionary model of multi-agent learning with a varying exploration rate
-
Richland, SC International Foundation for Autonomous Agents and Multiagent Systems
-
Michael Kaisers, Karl Tuyls, Simon Parsons, and Frank Thuijsman. An evolutionary model of multi-agent learning with a varying exploration rate. In AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems, pages 1255-1256, Richland, SC, 2009. International Foundation for Autonomous Agents and Multiagent Systems.
-
(2009)
AAMAS '09: Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems
, pp. 1255-1256
-
-
Kaisers, M.1
Tuyls, K.2
Parsons, S.3
Thuijsman, F.4
-
14
-
-
69249189768
-
Teamwork in self-organized robot colonies
-
August
-
Shervin Nouyan, Roderich Groß, Michael Bonani. Francesco Mondada, and Marco Dorigo. Teamwork in self-organized robot colonies. Transactions on Evolutionary Computation, 13(4):695-711, August 2009.
-
(2009)
Transactions on Evolutionary Computation
, vol.13
, Issue.4
, pp. 695-711
-
-
Nouyan, S.1
Groß, R.2
Bonani, M.3
Mondada, F.4
Dorigo, M.5
-
15
-
-
26444601262
-
Cooperative multi-agent learning: The state of the art
-
November
-
L. Panait and S. Luke. Cooperative multi-agent learning: The state of the art. Autonomous Agents and Multi-Agent Systems, 11(3):387-434, November 2005.
-
(2005)
Autonomous Agents and Multi-Agent Systems
, vol.11
, Issue.3
, pp. 387-434
-
-
Panait, L.1
Luke, S.2
-
16
-
-
34247189658
-
A novel method for automatic strategy acquisition in n-player non-zero-sum games
-
Hakodate, Japan ACM
-
S. Phelps. M. Marcinkiewicz, and S. Parsons. A novel method for automatic strategy acquisition in n-player non-zero-sum games. In AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, pages 705-712, Hakodate, Japan, 2006. ACM.
-
(2006)
AAMAS '06: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
, pp. 705-712
-
-
Phelps, S.1
Marcinkiewicz, M.2
Parsons, S.3
-
17
-
-
34147161536
-
If multi-agent learning is the answer, what is the question?
-
Y. Shoham, R. Powers, and T. Grenager. If multi-agent learning is the answer, what is the question? Artificial Intelligence, 171(7):365-377, 2007.
-
(2007)
Artificial Intelligence
, vol.171
, Issue.7
, pp. 365-377
-
-
Shoham, Y.1
Powers, R.2
Grenager, T.3
-
19
-
-
0017819644
-
Evolutionarily stable strategies and game dynamics
-
P. D. Taylor and L. Jonker. Evolutionarily stable strategies and game dynamics. Mathematical Biosciences, 40:145-156, 1978.
-
(1978)
Mathematical Biosciences
, vol.40
, pp. 145-156
-
-
Taylor, P.D.1
Jonker, L.2
-
20
-
-
34249064148
-
What evolutionary game theory tells us about multiagent learning
-
K. Tuyls and S. Parsons. What evolutionary game theory tells us about multiagent learning. Artificial Intelligence, 171(7):406-416, 2007.
-
(2007)
Artificial Intelligence
, vol.171
, Issue.7
, pp. 406-416
-
-
Tuyls, K.1
Parsons, S.2
-
22
-
-
1142268235
-
A selection-mutation model for q-learning in multi-agent systems
-
New York, NY, USA ACM
-
Karl Tuyls, Katja Verbeeck, and Tom Lenaerts. A selection-mutation model for q-learning in multi-agent systems. In AAMAS '03: Proceedings of the second international joint conference on Autonomous agents and multiagent systems, pages 693-700. New York, NY, USA, 2003. ACM.
-
(2003)
AAMAS '03: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems
, pp. 693-700
-
-
Tuyls, K.1
Verbeeck, K.2
Lenaerts, T.3
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