513 search results - page 51 / 103 » Metric learning for reinforcement learning agents |
100
Voted
ECAI
2008
Springer
15 years 2 months ago
2008
Springer
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...
102
Voted
AAAI
2010
15 years 2 months ago
2010
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
96
Voted
EWCBR
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. In both research fields, Case-Based Reasoning and Reinforcement Learning, the system under consideration gains its expertise from experience. Utilizing this fundamental c...
113
Voted
ATAL
2007
Springer
15 years 6 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
92
Voted
AAAI
2008
15 years 2 months ago
2008
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...