In recent years, there has been a growing inter- est in using rich representations such as relational languages for reinforcement learning. However,.
We propose a representation for the transition and reward function that can be learned online and present a method that exploits thesemodels by augmenting ...
In recent years, there has been a growing inter- est in using rich representations such as relational languages for reinforcement learning.
In recent years, there has been a growing inter- est in using rich representations such as relational languages for reinforcement learning. However,.
We propose a representation for the transition and reward function that can be learned online and present a method that exploits these models by augmenting ...
We propose a representation for the transition and reward function that can be learned online and present a method that exploits thesemodels by ...
Aug 27, 2016 · An online learning algorithm can update itself incrementally with each newly observed example. Reinforcement learning algorithms such as Q- ...
Relational reinforcement learning is presented, a learning technique that combines reinforcement learning with relational learning or inductive logic ...
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We propose a representation for the transition and reward function that can be learned online and present a method that exploits these models by augmenting ...
In recent years, there has been a growing interest in using rich representations such as relational languages for reinforcement learning.