-
1
-
-
26944456343
-
Learning to win: Case-based plan selection in a real-time strategy game
-
Chicago, IL: Springer
-
Aha, D.W., Molineaux, M., & Ponsen, M. (2005). Learning to win: Case-based plan selection in a real-time strategy game. Proceedings of the Sixth International Conference on Case-Based Reasoning (pp. 5-20). Chicago, IL: Springer.
-
(2005)
Proceedings of the Sixth International Conference on Case-Based Reasoning
, pp. 5-20
-
-
Aha, D.W.1
Molineaux, M.2
Ponsen, M.3
-
2
-
-
55849093374
-
Reasoning, Representation, and Learning in Computer Games: Papers from the IJCAI Workshop
-
Aha, D.W, Muñoz-Avila, H, & van Lent, M, Eds, AIC-05-127, Washington, DC: Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence
-
Aha, D.W., Muñoz-Avila, H., & van Lent, M. (Eds.) (2005). Reasoning, Representation, and Learning in Computer Games: Papers from the IJCAI Workshop (Technical Report AIC-05-127). Washington, DC: Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence.
-
(2005)
Technical Report
-
-
-
3
-
-
0037784020
-
Learning to catch: Applying nearest neighbor algorithms to dynamic control tasks
-
P. Cheeseman & R. W. Oldford Eds, New York: Springer
-
Aha, D. W., & Salzberg, S. L. (1994). Learning to catch: Applying nearest neighbor algorithms to dynamic control tasks. In P. Cheeseman & R. W. Oldford (Eds.), Selecting Models from Data: AI and Statistics IV. New York: Springer.
-
(1994)
Selecting Models from Data: AI and Statistics IV
-
-
Aha, D.W.1
Salzberg, S.L.2
-
5
-
-
0016556021
-
A new approach to manipulator control: The cerebellar model articulation controller
-
Albus, J.S. (1975). A new approach to manipulator control: The cerebellar model articulation controller. Journal of Dynamic Systems, Measurement, and Control, 97(3), 220-227.
-
(1975)
Journal of Dynamic Systems, Measurement, and Control
, vol.97
, Issue.3
, pp. 220-227
-
-
Albus, J.S.1
-
6
-
-
55849122408
-
-
Andrade, G., Ramalho, G., Santana, H., & Corruble, V. (2005). Extending reinforcement learning to provide dynamic game balancing. In (Aha et al., 2005).
-
Andrade, G., Ramalho, G., Santana, H., & Corruble, V. (2005). Extending reinforcement learning to provide dynamic game balancing. In (Aha et al., 2005).
-
-
-
-
7
-
-
0031074521
-
Locally weighted learning
-
Atkeson, C., Moore, A., & Schaal, S. (1997). Locally weighted learning. Artificial Intelligence Review, 11(1-5), 11-73
-
(1997)
Artificial Intelligence Review
, vol.11
, Issue.1-5
, pp. 11-73
-
-
Atkeson, C.1
Moore, A.2
Schaal, S.3
-
8
-
-
0036453749
-
Approximating the value function for continuous space reinforcement learning in robot control
-
Lausanne, Switzerland: IEEE Press
-
Buck, S., Beetz, M., & Schmitt, T. (2002). Approximating the value function for continuous space reinforcement learning in robot control. Proceedings of the International Conference on Intelligent Robots and Systems (pp. 1062-1067). Lausanne, Switzerland: IEEE Press.
-
(2002)
Proceedings of the International Conference on Intelligent Robots and Systems
, pp. 1062-1067
-
-
Buck, S.1
Beetz, M.2
Schmitt, T.3
-
9
-
-
0344962454
-
-
Buro, M. (2002). ORTS: A hack-free RTS game environment. Proceedings of the International Computers and Games Conference (pp. 280-291). Edmonton, Canada: Springer.
-
Buro, M. (2002). ORTS: A hack-free RTS game environment. Proceedings of the International Computers and Games Conference (pp. 280-291). Edmonton, Canada: Springer.
-
-
-
-
10
-
-
84880849017
-
-
Buro, M. (2003). Real-time strategy games: A new AI research challenge. Proceedings of the Eighteenth IJCAI (pp. 1534-1535). Acapulco, Mexico: Morgan Kaufmann.
-
Buro, M. (2003). Real-time strategy games: A new AI research challenge. Proceedings of the Eighteenth IJCAI (pp. 1534-1535). Acapulco, Mexico: Morgan Kaufmann.
-
-
-
-
11
-
-
58349100465
-
Online planning for resource production in real-time strategy games
-
Providence, Rhode Island: AAAI Press
-
Chan, H., Fern, A., Ray, S., Wilson, N., & Ventura, C. (2007). Online planning for resource production in real-time strategy games. In Proc. of the In. Conference on Automated Planning and Scheduling. Providence, Rhode Island: AAAI Press.
-
(2007)
Proc. of the In. Conference on Automated Planning and Scheduling
-
-
Chan, H.1
Fern, A.2
Ray, S.3
Wilson, N.4
Ventura, C.5
-
12
-
-
84957629024
-
Q-learning in continuous state and action spaces
-
Sydney, Australia: Springer
-
Gaskett, C., Wettergreen, D., & Zelinski, A. (1999). Q-learning in continuous state and action spaces. Proceedings of the Twelfth Australian Joint Conference on Artificial Intelligence (pp. 417-428). Sydney, Australia: Springer.
-
(1999)
Proceedings of the Twelfth Australian Joint Conference on Artificial Intelligence
, pp. 417-428
-
-
Gaskett, C.1
Wettergreen, D.2
Zelinski, A.3
-
13
-
-
84880803349
-
Generalizing plans to new environments in relational MDPs
-
Acapulco, Mexico: Morgan Kaufmann
-
Guestrin, C., Koller, D., Gearhart, C., & Kanodia, N. (2003). Generalizing plans to new environments in relational MDPs. Proceedings of the Eighteenth IJCAI (pp. 1003-1010), Acapulco, Mexico: Morgan Kaufmann
-
(2003)
Proceedings of the Eighteenth IJCAI
, pp. 1003-1010
-
-
Guestrin, C.1
Koller, D.2
Gearhart, C.3
Kanodia, N.4
-
14
-
-
0029679044
-
Reinforcement learning: A survey
-
Kaelbling, L.P., Littman, M.L., & Moore, A.W. (1996). Reinforcement learning: A survey. JAIR, 4, 237-285.
-
(1996)
JAIR
, vol.4
, pp. 237-285
-
-
Kaelbling, L.P.1
Littman, M.L.2
Moore, A.W.3
-
15
-
-
84880718755
-
Concurrent hierarchical reinforcement learning
-
Edinburgh, Scotland: Professional Book Center
-
Marthi, B., Latham, D., Russell, S., & Guestrin, C. (2005). Concurrent hierarchical reinforcement learning. Proceedings of the Nineteenth International Joint Conference on AI. (pp. 779-785). Edinburgh, Scotland: Professional Book Center.
-
(2005)
Proceedings of the Nineteenth International Joint Conference on AI
, pp. 779-785
-
-
Marthi, B.1
Latham, D.2
Russell, S.3
Guestrin, C.4
-
16
-
-
0036832960
-
Continuous-action Q-learning
-
del R. Millán, J., Posenato, D., & Dedieu, E. (2002). Continuous-action Q-learning. Machine Learning, 49,247-265.
-
(2002)
Machine Learning
, vol.49
, pp. 247-265
-
-
del, R.1
Millán, J.2
Posenato, D.3
Dedieu, E.4
-
19
-
-
38049014584
-
Case-based planning and execution for real-time strategy games
-
Belfast, N. Ireland: Springer
-
Ontañón, S., Mishra, K., Sugandh, N., & Ram, A. (2007). Case-based planning and execution for real-time strategy games. Proceedings of the Seventh International Conference on Case-Based Reasoning (pp. 164-178). Belfast, N. Ireland: Springer.
-
(2007)
Proceedings of the Seventh International Conference on Case-Based Reasoning
, pp. 164-178
-
-
Ontañón, S.1
Mishra, K.2
Sugandh, N.3
Ram, A.4
-
20
-
-
55849120305
-
-
Ponsen, M.J.V., Lee-Urban, S., Muñoz-Avila, H., Aha, D.W., & Molineaux, M. (2005). Stratagus: An open-source game engine for research in RTS games. In (Aha et al., 2005).
-
Ponsen, M.J.V., Lee-Urban, S., Muñoz-Avila, H., Aha, D.W., & Molineaux, M. (2005). Stratagus: An open-source game engine for research in RTS games. In (Aha et al., 2005).
-
-
-
-
21
-
-
33750138766
-
Automatically generating game tactics through evolutionary learning
-
Ponsen, M.S.V., Spronck, P., Muñoz-Avila, H., & Aha, D.W. (2006). Automatically generating game tactics through evolutionary learning. AI Magazine, 27(3), 75-84.
-
(2006)
AI Magazine
, vol.27
, Issue.3
, pp. 75-84
-
-
Ponsen, M.S.V.1
Spronck, P.2
Muñoz-Avila, H.3
Aha, D.W.4
-
22
-
-
0031072835
-
Continuous case-based reasoning
-
Ram, A., & Santamaria, J.C. (1997). Continuous case-based reasoning. Artificial Intelligence, 90(1-2), 25-77.
-
(1997)
Artificial Intelligence
, vol.90
, Issue.1-2
, pp. 25-77
-
-
Ram, A.1
Santamaria, J.C.2
-
24
-
-
34548736432
-
-
Sailer, F., Buro, M., Lanctot, M. (2007). Adversarial planning through strategy simulation. In Proceedings of the Symposium on Computational Intelligence in Games. Hawaii, HO: IEEE.
-
Sailer, F., Buro, M., Lanctot, M. (2007). Adversarial planning through strategy simulation. In Proceedings of the Symposium on Computational Intelligence in Games. Hawaii, HO: IEEE.
-
-
-
-
25
-
-
0031231885
-
Experiments with reinforcement learning in problems with continuous state and action spaces
-
Santamaria, J.C., Sutton, R., & Ram, A. (1998). Experiments with reinforcement learning in problems with continuous state and action spaces. Adaptive Behavior, 6(2): 163-217.
-
(1998)
Adaptive Behavior
, vol.6
, Issue.2
, pp. 163-217
-
-
Santamaria, J.C.1
Sutton, R.2
Ram, A.3
-
26
-
-
80054035256
-
Transfer learning in real-time strategy games using hybrid CBR/RL
-
Sharma, M., Holmes, M., Santamaria, J.C., Irani, A., Isbell, C., & Ram, A. (2007). Transfer learning in real-time strategy games using hybrid CBR/RL. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. [http://www.ijcai.org/papers07/contents.php]
-
(2007)
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence
-
-
Sharma, M.1
Holmes, M.2
Santamaria, J.C.3
Irani, A.4
Isbell, C.5
Ram, A.6
-
27
-
-
0031071704
-
A teaching strategy for memory-based control
-
Sheppard, J.W., & Salzberg, S.L. (1997). A teaching strategy for memory-based control. AI Review, 11(1-5), 343-370.
-
(1997)
AI Review
, vol.11
, Issue.1-5
, pp. 343-370
-
-
Sheppard, J.W.1
Salzberg, S.L.2
-
30
-
-
0033340986
-
Continuous valued Q-learning for vision-guided behavior acquisition
-
Taipei, Taiwan: IEEE Press
-
Takahashi, Y, Takeda, M., & Asada, M. (1999). Continuous valued Q-learning for vision-guided behavior acquisition. Proceedings of the International Conference on Multisensor Fusion and Integration for Intelligent Systems (pp.255-260). Taipei, Taiwan: IEEE Press.
-
(1999)
Proceedings of the International Conference on Multisensor Fusion and Integration for Intelligent Systems
, pp. 255-260
-
-
Takahashi, Y.1
Takeda, M.2
Asada, M.3
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