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Structure in the Space of Value Functions

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Discrete Event Dynamic Systems

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Spatiotemporal Abstraction of Stochastic Sequential Processes

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Recent Advances in Hierarchical Reinforcement Learning

Discrete Event Dynamic Systems

Using relative novelty to identify useful temporal abstractions in reinforcement learning

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A Neural Learning Classifier System with Self-Adaptive Constructivism for Mobile Robot Control

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Hierarchical Average Reward Reinforcement Learning

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AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2

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Autonomous subgoal discovery and hierarchical abstraction for reinforcement learning using Monte Carlo method

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Hierarchical reinforcement learning with the MAXQ value function decomposition

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Approximate dynamic programming techniques for the control of time-varying queuing systems applied to call centers with abandonments and retrials

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Safe state abstraction and reusable continuing subtasks in hierarchical reinforcement learning

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Reinforcement learning with partially known world dynamics

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence

Flexible decomposition algorithms for weakly coupled Markov decision problems

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence

Learning skills in reinforcement learning using relative novelty

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Automatica (Journal of IFAC)

Actor-critic algorithms for hierarchical Markov decision processes

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Beyond reward: the problem of knowledge and data

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WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02