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Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/B95FD666-3683-44DB-8681-8CB3C2DFEC7B | ||
| Year | 2003 | ||
| Type of Item | Conference Full Paper | ||
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| Bibliographic Citation | M.G. Lagoudakis and R. Parr, “Approximate policy iteration using large-margin classifiers,” in Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI), 2003, pp. 1432–1434. | ||
| Appears in Collections |
We present an approximate policy iteration algorithmthat uses rollouts to estimate the value of eachaction under a given policy in a subset of states anda classifier to generalize and learn the improvedpolicy over the entire state space. Using a multiclasssupport vector machine as the classifier, weobtained successful results on the inverted pendulumand the bicycle balancing and riding domains.
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