-
5
-
-
0031189914
-
Multitask learning
-
doi:10.1023/A:1007379606734
-
Caruana, R. (1997). Multitask learning. Machine Learning, 28, 41-75. doi:10.1023/A:1007379606734
-
(1997)
Machine Learning
, vol.28
, pp. 41-75
-
-
Caruana, R.1
-
7
-
-
36348931609
-
Transferring naive bayes classifiers for text classification
-
In
-
Dai, W., Xue, G., Yang, Q., & Yu, Y. (2007a). Transferring Naive Bayes classifiers for text classification. In Proceedings of the AAAI Conference on Artificial Intelligence.
-
(2007)
Proceedings of the AAAI Conference on Artificial Intelligence
-
-
Dai, W.1
Xue, G.2
Yang, Q.3
Yu, Y.4
-
8
-
-
34547972773
-
Boosting for transfer learning
-
In
-
Dai, W., Yang, Q., Xue, G., & Yu, Y. (2007b). Boosting for transfer learning. In Proceedings of the International Conference on Machine Learning.
-
(2007)
Proceedings of the International Conference on Machine Learning
-
-
Dai, W.1
Yang, Q.2
Xue, G.3
Yu, Y.4
-
10
-
-
0002278788
-
Hierarchical reinforcement learning with the maxq value function decomposition
-
Dietterich, T. (2000). Hierarchical reinforcement learning with the MAXQ value function decomposition. Journal of Artificial Intelligence Research, 13, 227-303.
-
(2000)
Journal of Artificial Intelligence Research
, vol.13
, pp. 227-303
-
-
Dietterich, T.1
-
14
-
-
0024767488
-
The structure-mapping engine: Algorithm and examples
-
doi:10.1016/0004-3702(89)90077-5
-
Falkenhainer, B., Forbus, K., & Gentner, D. (1989). The structure-mapping engine: Algorithm and examples. Artificial Intelligence, 41, 1-63. doi:10.1016/0004-3702(89)90077-5
-
(1989)
Artificial Intelligence
, vol.41
, pp. 1-63
-
-
Falkenhainer, B.1
Forbus, K.2
Gentner, D.3
-
16
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
doi:10.1006/jcss.1997.1504
-
Freund, Y., & Schapire, R. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1), 119-139. doi:10.1006/jcss.1997.1504
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.2
-
23
-
-
3843062299
-
Transfer of experience between reinforcement learning environments with progressive difficulty
-
doi:10.1023/B:AIRE.0000036264.95672.64
-
Madden, M., & Howley, T. (2004). Transfer of experience between reinforcement learning environments with progressive difficulty. Artificial Intelligence Review, 21, 375-398. doi:10.1023/B:AIRE.0000036264.95672.64
-
(2004)
Artificial Intelligence Review
, vol.21
, pp. 375-398
-
-
Madden, M.1
Howley, T.2
-
24
-
-
56049119180
-
Transfer learning with an ensemble of background tasks
-
In
-
MarR, Z., Rosenstein, M., Kaelbling, L., & Dietterich, T. (2005). Transfer learning with an ensemble of background tasks. In Proceedings of the NIPS Workshop on Transfer Learning.
-
(2005)
Proceedings of the NIPS Workshop on Transfer Learning
-
-
Marr, Z.1
Rosenstein, M.2
Kaelbling, L.3
Dietterich, T.4
-
25
-
-
56449130136
-
Automatic discovery and transfer of maxq hierarchies
-
In
-
Mehta, N., Ray, S., Tadepalli, P., & Dietterich, T. (2008). Automatic discovery and transfer of MAXQ hierarchies. In Proceedings of the International Conference on Machine Learning.
-
(2008)
Proceedings of the International Conference on Machine Learning
-
-
Mehta, N.1
Ray, S.2
Tadepalli, P.3
Dietterich, T.4
-
31
-
-
0142121953
-
-
(Tech. Rep. UM-CS-1999-034), University of Massachusetts, Amherst, USA
-
Perkins, T., & Precup, D. (1999). Using options for knowledge transfer in reinforcement learning (Tech. Rep. UM-CS-1999-034). University of Massachusetts, Amherst, USA.
-
(1999)
Using Options for Knowledge Transfer in Reinforcement Learning
-
-
Perkins, T.1
Precup, D.2
-
34
-
-
32044466073
-
Markov logic networks
-
doi:10.1007/s10994-006-5833-1
-
Richardson, M., & Domingos, P. (2006). Markov logic networks. Machine Learning, 62(1-2), 107-136. doi:10.1007/s10994-006-5833-1
-
(2006)
Machine Learning
, vol.62
, Issue.1-2
, pp. 107-136
-
-
Richardson, M.1
Domingos, P.2
-
35
-
-
34547973978
-
To transfer or not to transfer
-
In
-
Rosenstein, M., Marx, Z., Kaelbling, L., & Dietterich, T. (2005). To transfer or not to transfer. In Proceedings of the NIPS Workshop on Inductive Transfer.
-
(2005)
Proceedings of the NIPS Workshop on Inductive Transfer
-
-
Rosenstein, M.1
Marx, Z.2
Kaelbling, L.3
Dietterich, T.4
-
37
-
-
80054035256
-
-
Transfer learning in real-time strategy games using hybrid CBR/RL, In
-
Sharma, M., Holmes, M., Santamaria, J., Irani, A., Isbell, C., & Ram, A. (2007). Transfer learning in real-time strategy games using hybrid CBR/RL. In Proceedings of the International Joint Conference on Artificial Intelligence.
-
(2007)
Proceedings of the International Joint Conference on Artificial Intelligence
-
-
Sharma, M.1
Holmes, M.2
Santamaria, J.3
Irani, A.4
Isbell, C.5
Ram, A.6
-
38
-
-
74049137639
-
Action-space knowledge transfer in mdps: Formalism, suboptimality bounds, and algorithms
-
In
-
Sherstov, A., & Stone, P. (2005). Action-space knowledge transfer in MDPs: Formalism, suboptimality bounds, and algorithms. In Proceedings of the Conference on Learning Theory.
-
(2005)
Proceedings of the Conference on Learning Theory
-
-
Sherstov, A.1
Stone, P.2
-
40
-
-
0001027894
-
Transfer of learning by composing solutions of elemental sequential tasks
-
doi:10.1007/BF00992700
-
Singh, S. (1992). Transfer of learning by composing solutions of elemental sequential tasks. Machine Learning, 8(3-4), 323-339. doi:10.1007/BF00992700
-
(1992)
Machine Learning
, vol.8
, Issue.3-4
, pp. 323-339
-
-
Singh, S.1
-
44
-
-
33847202724
-
Learning to predict by the methods of temporal differences
-
Sutton, R. (1988). Learning to predict by the methods of temporal differences. Machine Learning, 3, 9-44.
-
(1988)
Machine Learning
, vol.3
, pp. 9-44
-
-
Sutton, R.1
-
47
-
-
56049088540
-
Multitask reinforcement learning on the distribution of mdps
-
Tanaka, F., & Yamamura, M. (2003). Multitask reinforcement learning on the distribution of MDPs. Transactions of the Institute of Electrical Engineers of Japan, 123(5), 1004-1011.
-
(2003)
Transactions of the Institute of Electrical Engineers of Japan
, vol.123
, Issue.5
, pp. 1004-1011
-
-
Tanaka, F.1
Yamamura, M.2
-
56
-
-
66149165875
-
Transfer in reinforcement learning via markov logic networks
-
In
-
Torrey, L., Shavlik, J., Natarajan, S., Kuppili, P., & Walker, T. (2008). Transfer in reinforcement learning via Markov logic networks. In Proceedings of the AAAI Workshop on Transfer Learning for Complex Tasks.
-
(2008)
Proceedings of the AAAI Workshop on Transfer Learning for Complex Tasks
-
-
Torrey, L.1
Shavlik, J.2
Natarajan, S.3
Kuppili, P.4
Walker, T.5
-
57
-
-
48149103398
-
Relational skill transfer via advice taking
-
In
-
Torrey, L., Shavlik, J., Walker, T., & Maclin, R. (2006). Relational skill transfer via advice taking. In Proceedings of the ICML Workshop on Structural Knowledge Transfer for Machine Learning.
-
(2006)
Proceedings of the ICML Workshop on Structural Knowledge Transfer for Machine Learning
-
-
Torrey, L.1
Shavlik, J.2
Walker, T.3
Maclin, R.4
-
58
-
-
57749085102
-
Relational macros for transfer in reinforcement learning
-
In
-
Torrey, L., Shavlik, J., Walker, T., & Maclin, R. (2007). Relational macros for transfer in reinforcement learning. In Proceedings of the International Conference on Inductive Logic Programming.
-
(2007)
Proceedings of the International Conference on Inductive Logic Programming
-
-
Torrey, L.1
Shavlik, J.2
Walker, T.3
Maclin, R.4
-
59
-
-
33750366539
-
Using advice to transfer knowledge acquired in one reinforcement learning task to another
-
In
-
Torrey, L., Walker, T., Shavlik, J., & Maclin, R. (2005). Using advice to transfer knowledge acquired in one reinforcement learning task to another. In Proceedings of the European Conference on Machine Learning.
-
(2005)
Proceedings of the European Conference on Machine Learning
-
-
Torrey, L.1
Walker, T.2
Shavlik, J.3
Maclin, R.4
-
62
-
-
0004049893
-
-
Unpublished doctoral dissertation, University of Cambridge
-
Watkins, C. (1989). Learning from delayed rewards. Unpublished doctoral dissertation, University of Cambridge.
-
(1989)
Learning from Delayed Rewards
-
-
Watkins, C.1
-
63
-
-
34547994508
-
Multi-task reinforcement learning: A hierarchical bayesian approach
-
In
-
Wilson, A., Fern, A., Ray, S., & Tadepalli, P. (2007). Multi-task reinforcement learning: A hierarchical Bayesian approach. In Proceedings of the International Conference on Machine Learning.
-
(2007)
Proceedings of the International Conference on Machine Learning
-
-
Wilson, A.1
Fern, A.2
Ray, S.3
Tadepalli, P.4
|