101 search results - page 5 / 21 » Multi-task reinforcement learning: a hierarchical Bayesian a... |
AAAI
2010
14 years 11 months ago
2010
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
100
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AAAI
2006
14 years 11 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
INLG
2010
Springer
14 years 7 months ago
2010
Springer
We present a novel approach to natural language generation (NLG) that applies hierarchical reinforcement learning to text generation in the wayfinding domain. Our approach aims to...
87
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ICRA
2008
IEEE
15 years 4 months ago
2008
IEEE
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
87
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ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...