Fast learning in a simple probabilistic visual environment: A comparison of ACT-R’s old PG-C and new reinforcement learning algorithms (2007)

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Bibliographic Entry

Tamborello, F. P., II, & Byrne, M. D. (2007). Fast Learning in a Simple Probabilistic Visual Environment: A Comparison of ACT-R’s Old PG-C and New Reinforcement Learning Algorithms. In Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Year: 2007
Type: inproceedings
Status: published
Categories: Architecture, Reinforcement Learning
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Fast learning in a simple probabilistic visual environment: A comparison of ACT-R’s old PG-C and new reinforcement learning algorithms

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