3084 search results - page 177 / 617 » Learning to Take Actions |
141
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EUROMICRO
2009
IEEE
15 years 11 months ago
2009
IEEE
Abstract— Creating exercises for learners requires significant time. This is one reason, beside difficulties of discussing individualized tasks in a classroom setting, why often ...
154
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AIIA
2007
Springer
15 years 10 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
110
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GECCO
2009
Springer
15 years 9 months ago
2009
Springer
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
125
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ATAL
2006
Springer
15 years 8 months ago
2006
Springer
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...
151
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...