513 search results - page 17 / 103 » Metric learning for reinforcement learning agents |
99
Voted
ICAART
2010
INSTICC
15 years 9 months ago
2010
INSTICC
ATAL
2004
Springer
15 years 5 months ago
2004
Springer
121
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AAAI
2010
15 years 1 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...
87
Voted
AAMAS
2007
Springer
15 years 18 days 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...
ICML
2003
IEEE
16 years 1 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...