Adaptive algorithms and stochastic approximations
Adaptive algorithms and stochastic approximations
Practical Issues in Temporal Difference Learning
Machine Learning
The Convergence of TD(λ) for General λ
Machine Learning
TD(λ) Converges with Probability 1
Machine Learning
Asynchronous Stochastic Approximation and Q-Learning
Machine Learning
Temporal difference learning and TD-Gammon
Communications of the ACM
Feature-based methods for large scale dynamic programming
Machine Learning - Special issue on reinforcement learning
Matrix computations (3rd ed.)
Neuro-Dynamic Programming
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Analog VLSI Stochastic Perturbative Learning Architectures
Analog Integrated Circuits and Signal Processing
A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal-Difference Learning
Discrete Event Dynamic Systems
Hi-index | 0.00 |