513 search results - page 17 / 103 » Metric learning for reinforcement learning agents |
ATAL
2004
Springer
15 years 11 months ago
2004
Springer
186
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AAAI
2010
15 years 7 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
139
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AAMAS
2007
Springer
15 years 6 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
150
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ICML
2003
IEEE
16 years 6 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...