Convergence analysis of temporal-difference learning algorithms with linear function approximation

Stochastic systems: estimation, identification and adaptive control

Stochastic systems: estimation, identification and adaptive control

Adaptive algorithms and stochastic approximations

Adaptive algorithms and stochastic approximations

Identification and stochastic adaptive control

Identification and stochastic adaptive control

Stochastic approximation and optimization of random systems

Stochastic approximation and optimization of random systems

The Convergence of TD(λ) for General λ

Machine Learning

Adaptive signal processing algorithms: stability and performance

Adaptive signal processing algorithms: stability and performance

TD(λ) Converges with Probability 1

Machine Learning

Feature-based methods for large scale dynamic programming

Machine Learning - Special issue on reinforcement learning

Dynamic Programming and Optimal Control

Dynamic Programming and Optimal Control

Introduction to Reinforcement Learning

Introduction to Reinforcement Learning

Neuro-Dynamic Programming

Neuro-Dynamic Programming

Learning to Predict by the Methods of Temporal Differences

Machine Learning