Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
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ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
The Dynamic Clusters Method and Optimization in Non-Hierarchical Clustering
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Hierarchical solution of Markov decision processes using macro-actions
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
On the complexity of solving Markov decision problems
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
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Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is closely tied to how accurately data values are predicted at runtime. Caching ...