A Convergent O ( n ) Algorithm for Off-policy Temporal-difference Learning with Linear Function Approximation
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
Residual Algorithms: Reinforcement Learning with Function Approximation
Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
Learning representations by back-propagating errors
Off-Policy Temporal Difference Learning with Function Approximation