Bhatnagar S, Sutton RS, Ghavamzadeh M, Lee M (2009) Natural actor-critic algorithms. Automatica 45:2471–2482 MathSciNetBhatnagar, S., Sutton, R.S., Ghavamzadeh, M., Lee, M.: Natural actor-critic algorithms. Au
We show that several well-known reinforcement learning methods such as the original Actor-Critic and Bradtke's Linear Quadratic Q-Learning are in fact Natural Actor-Critic algorithms. Empirical evaluations illustrate the effectiveness of our techniques in comparison to previous methods, and also ...
2009. Natural actor-critic algorithms. Automatica 45, 11, 2471-2482.Shalabh B,Richard SS,Mohammad G,Mark L.Natural Actor Critic Algorithms. Automatica . 2009Bhatnagar S, Sutton R, Ghavamzadeh M, Lee M (2009) Natural actor-critic algorithms. Automatica 45(11):2471-2482...
Incremental natural actor-critic algorithms. In Advances in Neural Infor- mation Processing Systems 20, pages 105-112. MIT Press, Cambridge, MA, 2008.Shalabh Bhatnagar, Mohammad Ghavamzadeh, Mark Lee, and Richard S Sutton. Incremental natu- ral actor-critic algorithms. In Advances in neural ...
1. Introduction Natural actor-critics are an increasingly popular class of algorithms for ?nding locally optimal policies for continuous-action Markov decision processes (MDPs). We show that the existing discounted natural actor-critic algorithms (Degris et al., 2012; Peters & Schaal, 2006; 2008...
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2018. From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction. In Proceedings of ACL 2018. (Citation: 1) Zhen Yang, Wei Chen, Feng Wang, and Bo Xu. 2018. Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets. In ...
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The results show that there is a trade-off between sensitivity and specificity, such that one cannot have both high sensitivity and specificity. Considering the two tables together, there are greater savings in future claims costs when one selects algorithms with a higher Negative Predictive Value,...