Temporal difference learning (Italian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Temporal difference learning" in Italian language version.

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T.J. Sejnowski, P. Dayan e P.R. Montague, Predictive hebbian learning, in Proceedings of Eighth ACM Conference on Computational Learning Theory, 1995, pp. 15-18, DOI:10.1145/230000/225300/p15-sejnowski.

archive.org

Richard Sutton, Learning to predict by the methods of temporal differences, in Machine Learning, vol. 3, n. 1, 1988, pp. 9-44, DOI:10.1007/BF00115009. (A revised version is available on Richard Sutton's publication page (archiviato dall'url originale il 30 marzo 2017).

doi.org

dx.doi.org

Richard Sutton, Learning to predict by the methods of temporal differences, in Machine Learning, vol. 3, n. 1, 1988, pp. 9-44, DOI:10.1007/BF00115009. (A revised version is available on Richard Sutton's publication page (archiviato dall'url originale il 30 marzo 2017).
Schultz, W, Dayan, P & Montague, PR., A neural substrate of prediction and reward, in Science, vol. 275, n. 5306, 1997, pp. 1593-1599, DOI:10.1126/science.275.5306.1593, PMID 9054347.
P. R. Montague, P. Dayan e T. J. Sejnowski, A framework for mesencephalic dopamine systems based on predictive Hebbian learning (PDF), in The Journal of Neuroscience, vol. 16, n. 5, 1º marzo 1996, pp. 1936-1947, DOI:10.1523/JNEUROSCI.16-05-01936.1996, PMID 8774460.
T.J. Sejnowski, P. Dayan e P.R. Montague, Predictive hebbian learning, in Proceedings of Eighth ACM Conference on Computational Learning Theory, 1995, pp. 15-18, DOI:10.1145/230000/225300/p15-sejnowski.
Gerald Tesauro, Temporal Difference Learning and TD-Gammon, in Communications of the ACM, vol. 38, n. 3, marzo 1995, pp. 58-68, DOI:10.1145/203330.203343. URL consultato l'8 febbraio 2010.

ibm.com

research.ibm.com

Gerald Tesauro, Temporal Difference Learning and TD-Gammon, in Communications of the ACM, vol. 38, n. 3, marzo 1995, pp. 58-68, DOI:10.1145/203330.203343. URL consultato l'8 febbraio 2010.

nih.gov

ncbi.nlm.nih.gov

Schultz, W, Dayan, P & Montague, PR., A neural substrate of prediction and reward, in Science, vol. 275, n. 5306, 1997, pp. 1593-1599, DOI:10.1126/science.275.5306.1593, PMID 9054347.
P. R. Montague, P. Dayan e T. J. Sejnowski, A framework for mesencephalic dopamine systems based on predictive Hebbian learning (PDF), in The Journal of Neuroscience, vol. 16, n. 5, 1º marzo 1996, pp. 1936-1947, DOI:10.1523/JNEUROSCI.16-05-01936.1996, PMID 8774460.
P. R. Montague e T. J. Sejnowski, The predictive brain: temporal coincidence and temporal order in synaptic learning mechanisms, in Learning & Memory, vol. 1, n. 1, 1994, pp. 1-33, PMID 10467583.

oadoi.org

Schultz, W, Dayan, P & Montague, PR., A neural substrate of prediction and reward, in Science, vol. 275, n. 5306, 1997, pp. 1593-1599, DOI:10.1126/science.275.5306.1593, PMID 9054347.

salk.edu

papers.cnl.salk.edu

P. R. Montague, P. Dayan e T. J. Sejnowski, A framework for mesencephalic dopamine systems based on predictive Hebbian learning (PDF), in The Journal of Neuroscience, vol. 16, n. 5, 1º marzo 1996, pp. 1936-1947, DOI:10.1523/JNEUROSCI.16-05-01936.1996, PMID 8774460.

ucl.ac.uk

gatsby.ucl.ac.uk

P.R. Montague, P. Dayan e S.J. Nowlan, Using aperiodic reinforcement for directed self-organization (PDF), in Advances in Neural Information Processing Systems, vol. 5, 1993, pp. 969-976.

web.archive.org

Richard Sutton, Learning to predict by the methods of temporal differences, in Machine Learning, vol. 3, n. 1, 1988, pp. 9-44, DOI:10.1007/BF00115009. (A revised version is available on Richard Sutton's publication page (archiviato dall'url originale il 30 marzo 2017).
Reinforcement learning: An introduction (PDF), p. 130. URL consultato il 10 settembre 2019 (archiviato dall'url originale il 12 luglio 2017).
Richard Sutton e Andrew Barto, Reinforcement Learning, MIT Press, 1998, ISBN 978-0-585-02445-5. URL consultato il 10 settembre 2019 (archiviato dall'url originale il 30 marzo 2017).