Author:
Buşoniu Lucian,De Schutter Bart,Babuška Robert
Publisher
Springer Berlin Heidelberg
Reference92 articles.
1. Baddeley, B.: Reinforcement learning in continuous time and space: Interference and not ill conditioning is the main problem when using distributed function approximators. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics 38(4), 950–956 (2008)
2. Barash, D.: A genetic search in policy space for solving Markov decision processes. In: AAAI Spring Symposium on Search Techniques for Problem Solving under Uncertainty and Incomplete Information. Palo Alto, US (1999)
3. Barto, A.G., Sutton, R.S., Anderson, C.W.: Neuronlike adaptive elements than can solve difficult learning control problems. IEEE Transactions on Systems, Man, and Cybernetics 13(5), 833–846 (1983)
4. Baxter, J., Bartlett, P.L.: Infinite-horizon policy-gradient estimation. Journal of Artificial Intelligence Research 15, 319–350 (2001)
5. Berenji, H.R., Khedkar, P.: Learning and tuning fuzzy logic controllers through reinforcements. IEEE Transactions on Neural Networks 3(5), 724–740 (1992)
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