-
2
-
-
27144539454
-
Group utility gunctions: Learning equilibria between groups of agents in computer games by modifying the reinforcement signal
-
Edinburgh, UK: IEEE Press
-
Bradley, J., and Hayes, G. 2005. Group utility gunctions: Learning equilibria between groups of agents in computer games by modifying the reinforcement signal. In Proceedings of the IEEE Congress on Evolutionary Computation, 1914-1921. Edinburgh, UK: IEEE Press.
-
(2005)
Proceedings of the IEEE Congress on Evolutionary Computation
, pp. 1914-1921
-
-
Bradley, J.1
Hayes, G.2
-
6
-
-
84863195886
-
Offline planning with hierarchical task networks in video games
-
Darken, C. and Mateas, M. eds., Stanford, CA: AAAI Press
-
Kelley, J. P.; Botea, A.; and Koenig, S. 2008. Offline planning with hierarchical task networks in video games. In Darken, C., and Mateas, M., eds., Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference. Stanford, CA: AAAI Press.
-
(2008)
Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference
-
-
Kelley, J.P.1
Botea, A.2
Koenig, S.3
-
7
-
-
0002982589
-
Chunking in soar: The anatomy of a general learning mechanism
-
Laird, J. E.; Rosenbloom, P. S.; and Newell, A. 1986. Chunking in Soar: The anatomy of a general learning mechanism. Machine Learning 1:11-46.
-
(1986)
Machine Learning
, vol.1
, pp. 11-46
-
-
Laird, J.E.1
Rosenbloom, P.S.2
Newell, A.3
-
9
-
-
77957867465
-
Learning hierarchical skills from problem solutions using means-ends analysis
-
Amsterdam, Netherlands: Cognitive Science Society, Inc
-
Li, N.; Stracuzzi, D. J.; Langley, P.; and Nejati, N. 2009. Learning hierarchical skills from problem solutions using means-ends analysis. In Proceedings of the 31st Annual Meeting of the Cognitive Science Society. Amsterdam, Netherlands: Cognitive Science Society, Inc.
-
(2009)
Proceedings of the 31st Annual Meeting of the Cognitive Science Society
-
-
Li, N.1
Stracuzzi, D.J.2
Langley, P.3
Nejati, N.4
-
10
-
-
8844283285
-
Soar-rl: Integrating reinforcement learning with soar
-
Nason, S., and Laird, J. E. 2005. Soar-RL: Integrating reinforcement learning with Soar. Cognitive Systems Research 6(1):51-59.
-
(2005)
Cognitive Systems Research
, vol.6
, Issue.1
, pp. 51-59
-
-
Nason, S.1
Laird, J.E.2
-
12
-
-
47749155116
-
Three states and a plan: The ai of F.E.A.R
-
Orkin, J. 2006. Three states and a plan: The AI of F.E.A.R. In Game Developers Conference.
-
(2006)
Game Developers Conference
-
-
Orkin, J.1
-
13
-
-
80051637394
-
Representing and reasoning over time in a symbolic cognitive architecture
-
Amsterdam, Netherlands: Cognitive Science Society, Inc
-
Stracuzzi, D. J.; Li, N.; Cleveland, G.; and Langley, P. 2009. Representing and reasoning over time in a symbolic cognitive architecture. In Proceedings of the 31st Annual Meeting of the Cognitive Science Society. Amsterdam, Netherlands: Cognitive Science Society, Inc.
-
(2009)
Proceedings of the 31st Annual Meeting of the Cognitive Science Society
-
-
Stracuzzi, D.J.1
Li, N.2
Cleveland, G.3
Langley, P.4
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