495 search results - page 33 / 99 » Constructing States for Reinforcement Learning |
115
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AAAI
2008
15 years 6 months ago
2008
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
174
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NIPS
2007
15 years 5 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
126
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
140
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IDEAL
2007
Springer
15 years 10 months ago
2007
Springer
Recently researchers have introduced methods to develop reusable knowledge in reinforcement learning (RL). In this paper, we define simple principles to combine skills in reinforce...
130
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P2P
2006
IEEE
15 years 10 months ago
2006
IEEE
The idea of building query-oriented routing indices has changed the way of improving routing efficiency from the basis as it can learn the content distribution during the query r...