Associative reinforcement learning of real-valued functions
暂无分享,去创建一个
[1] J. Wolfowitz. On the Stochastic Approximation Method of Robbins and Monro , 1952 .
[2] J. Kiefer,et al. Stochastic Estimation of the Maximum of a Regression Function , 1952 .
[3] W. A. Clark,et al. Simulation of self-organizing systems by digital computer , 1954, Trans. IRE Prof. Group Inf. Theory.
[4] J. Laurie Snell,et al. Studies in mathematical learning theory. , 1960 .
[5] George E. Ferris,et al. An Introduction to Mathematical Learning Theory , 1966 .
[6] B. Chandrasekaran,et al. On Expediency and Convergence in Variable-Structure Automata , 1968, IEEE Trans. Syst. Sci. Cybern..
[7] F. Downton. Stochastic Approximation , 1969, Nature.
[8] M. L. Tsetlin,et al. Automaton theory and modeling of biological systems , 1973 .
[9] E Harth,et al. Alopex: a stochastic method for determining visual receptive fields. , 1974, Vision research.
[10] Peter E. Hart,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[11] Sheldon M. Ross,et al. Stochastic Processes , 2018, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics.
[12] P. Anandan,et al. Pattern-recognizing stochastic learning automata , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[13] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[14] Robert B. Allen,et al. Stochastic Learning Networks and their Electronic Implementation , 1987, NIPS.
[15] V. Gullapalli. A Stochastic Algorithm for Learning Real-valued Functions via Reinforcement , 1988 .
[16] Kumpati S. Narendra,et al. Learning automata - an introduction , 1989 .
[17] Vijaykumar Gullapalli,et al. A stochastic reinforcement learning algorithm for learning real-valued functions , 1990, Neural Networks.
[18] V. Gullapalli. Modeling cortical area 7a using Stochastic Real-Valued (SRV) units , 1991 .