Introduction to the special issue on empirical evaluations in reinforcement learning
On the analysis and design of software for reinforcement learning, with a survey of existing systems
Empirical evaluation methods for multiobjective reinforcement learning algorithms
The first learning track of the international planning competition
Informing sequential clinical decision-making through reinforcement learning: an empirical study
Reinforcement learning in feedback control
Policy search for motor primitives in robotics
Characterizing reinforcement learning methods through parameterized learning problems
Creating non-minimal triangulations for use in inference in mixed stochastic/deterministic graphical models
Iterative learning from texts and counterexamples using additional information
Machine learning in space: extending our reach
Onboard object recognition for planetary exploration