-
1
-
-
0001670678
-
The lumiere project: Bayesian user modeling for inferring the goals and needs of software users
-
Horvitz, E., Breese, L., Heckerman, D., Hovel, D., Rommeke, K.: The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users. In: UAI. (1998) 256-265
-
(1998)
UAI
, pp. 256-265
-
-
Horvitz, E.1
Breese, L.2
Heckerman, D.3
Hovel, D.4
Rommeke, K.5
-
2
-
-
21244451194
-
-
Brusilovsky, P., Corbett, A., de Rosis, F., eds. Springer-Verlag
-
Brusilovsky, P., Corbett, A., de Rosis, F., eds.: User Modeling 2003. Springer-Verlag (2003)
-
(2003)
User Modeling 2003
-
-
-
3
-
-
33144488563
-
Automatically personalizing user interfaces
-
Weld, D., Anderson, C., Domingos, P., Etzioni, O., Lau, T., Gajos, K., Wolfman, S.: Automatically personalizing user interfaces. In: IJCAI. (2003) 1613-1619
-
(2003)
IJCAI
, pp. 1613-1619
-
-
Weld, D.1
Anderson, C.2
Domingos, P.3
Etzioni, O.4
Lau, T.5
Gajos, K.6
Wolfman, S.7
-
4
-
-
84880840280
-
Approximating game-theoretic optimal strategies for full-scale poker
-
Billings, D., Burch, N., Davidson, A., Holte, R., Schaeffer, J., Schauenberg, T., Szafron, D.: Approximating game-theoretic optimal strategies for full-scale poker. In: IJCAI. (2003) 661-668
-
(2003)
IJCAI
, pp. 661-668
-
-
Billings, D.1
Burch, N.2
Davidson, A.3
Holte, R.4
Schaeffer, J.5
Schauenberg, T.6
Szafron, D.7
-
6
-
-
0030349572
-
Opponent modeling in adversary search
-
Carmel, D., Markovitch, S.: Opponent modeling in adversary search. In: AAAI. (1996) 120-125
-
(1996)
AAAI
, pp. 120-125
-
-
Carmel, D.1
Markovitch, S.2
-
7
-
-
0001666986
-
Potential applications of opponent-model search
-
Iida, H., Uiterwijk, J.W.H.M., van den Herik, H.J., Herschberg, I.S.: Potential applications of opponent-model search. ICCA Journal 16 (1993) 201-208
-
(1993)
ICCA Journal
, vol.16
, pp. 201-208
-
-
Iida, H.1
Uiterwijk, J.W.H.M.2
Van Den Herik, H.J.3
Herschberg, I.S.4
-
8
-
-
0036149710
-
The challenge of poker
-
Billings, D., Davidson, A., Schaeffer, J., Szafron, D.: The challenge of poker. Artificial Intelligence 134 (2002) 201-240
-
(2002)
Artificial Intelligence
, vol.134
, pp. 201-240
-
-
Billings, D.1
Davidson, A.2
Schaeffer, J.3
Szafron, D.4
-
9
-
-
33745139542
-
A reinforcement learning algorithm to simplified two-player Texas Hold'em poker
-
Dahl, F.: A reinforcement learning algorithm to simplified two-player Texas Hold'em poker. In: ECML. (2001) 85-96
-
(2001)
ECML
, pp. 85-96
-
-
Dahl, F.1
-
11
-
-
0017484521
-
Studies in machine cognition using the game of poker
-
Findler, N.: Studies in machine cognition using the game of poker. CACM 20 (1977) 230-245
-
(1977)
CACM
, vol.20
, pp. 230-245
-
-
Findler, N.1
-
14
-
-
0031635794
-
Opponent modeling in poker
-
Billings, D., Papp, D., Schaeffer, J., Szafron, D.: Opponent modeling in poker. In: AAAI. (1998) 493-499
-
(1998)
AAAI
, pp. 493-499
-
-
Billings, D.1
Papp, D.2
Schaeffer, J.3
Szafron, D.4
-
15
-
-
0032596411
-
Using probabilistic knowledge and simulation to play poker
-
Billings, D., Peña, L., Schaeffer, J., Szafron, D.: Using probabilistic knowledge and simulation to play poker. In: AAAI. (1999) 697-703
-
(1999)
AAAI
, pp. 697-703
-
-
Billings, D.1
Peña, L.2
Schaeffer, J.3
Szafron, D.4
-
16
-
-
0031192989
-
Representations and solutions for game-theoretic problems
-
Koller, D., Pfeffer, A.: Representations and solutions for game-theoretic problems. Artificial Intelligence (1997) 167-215
-
(1997)
Artificial Intelligence
, pp. 167-215
-
-
Koller, D.1
Pfeffer, A.2
-
17
-
-
26944474144
-
Solving the oshi-zumo game
-
Buro, M.: Solving the oshi-zumo game. In: Advances in Computer Games 10. (2004) 361-366
-
(2004)
Advances in Computer Games
, vol.10
, pp. 361-366
-
-
Buro, M.1
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