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» Learning to use episodic memory
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CASES
2005
ACM
15 years 3 months ago
MTSS: multi task stack sharing for embedded systems
Out-of-memory errors are a serious source of unreliability in most embedded systems [22]. Applications run out of main memory because of the frequent difficulty of estimating the ...
Bhuvan Middha, Matthew Simpson, Rajeev Barua
110
Voted
ISNN
2007
Springer
15 years 8 months ago
Sparse Coding in Sparse Winner Networks
This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
Janusz A. Starzyk, Yinyin Liu, David D. Vogel
ICCBR
2010
Springer
15 years 5 months ago
Reducing the Memory Footprint of Temporal Difference Learning over Finitely Many States by Using Case-Based Generalization
In this paper we present an approach for reducing the memory footprint requirement of temporal difference methods in which the set of states is finite. We use case-based generaliza...
Matt Dilts, Héctor Muñoz-Avila
112
Voted
ATAL
2009
Springer
15 years 8 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
JKM
2006
135views more  JKM 2006»
15 years 1 months ago
Learning from the Mars Rover Mission: scientific discovery, learning and memory
Purpose Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in ...
Charlotte Linde