Reinforcement learning with hidden states
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Efficient Exploration In Reinforcement Learning
Efficient Exploration In Reinforcement Learning
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Behavior analysis and training-a methodology for behaviorengineering
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rapid, safe, and incremental learning of navigation strategies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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We introduce a methodology to design reinforcement based control architectures for autonomous robots. It aims at systematizing the behavior analysis and the controller design. The methodology has to be seen as a conceptual framework in which a number of methods are to be defined. In this paper we use some more or less known methods to show the feasibility of the methodology. The postman-robot case study illustrates how the proposed methodology is applied.