Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning

Learning complex, extended sequences using the principle of history compression

Neural Computation

Reinforcement learning for robots using neural networks

Reinforcement learning for robots using neural networks

Learning to solve Markovian decision processes

Learning to solve Markovian decision processes

Downward refinement and the efficiency of hierarchical problem solving

Artificial Intelligence

Acting optimally in partially observable stochastic domains

AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)

Reinforcement learning of non-Markov decision processes

Artificial Intelligence - Special volume on computational research on interaction and agency, part 2

Learning a class of large finite state machines with a recurrent neural network

Neural Networks

HQ-learning

Adaptive Behavior

Reinforcement learning with hierarchies of machines

NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10

Multi-time models for temporally abstract planning

NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10

Multi-agent reinforcement learning: weighting and partitioning

Neural Networks

Neuro-Dynamic Programming

Neuro-Dynamic Programming

Hierarchical Explanation-Based Reinforcement Learning

ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning

Feudal Reinforcement Learning

Advances in Neural Information Processing Systems 5, [NIPS Conference]

Reinforcement learning with selective perception and hidden state

Reinforcement learning with selective perception and hidden state

Reinforcement learning: a survey

Journal of Artificial Intelligence Research

Approximating optimal policies for partially observable stochastic domains

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2