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» Learning By Observation Using Qualitative Spatial Relations
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IJCAI
2007
13 years 9 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
ICML
2006
IEEE
14 years 8 months ago
Relational temporal difference learning
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Nima Asgharbeygi, David J. Stracuzzi, Pat Langley
ICC
2007
IEEE
146views Communications» more  ICC 2007»
14 years 1 months ago
Correlation Based Rate Adaptation via Insights from Incomplete Observations in 802.11 Networks
—Rate adaptation, as a challenging issue for wireless purpose. Relatively little attention has been paid on identifying network design, has been an active research topic for year...
Xia Zhou, Jun Zhao, Guang-Hua Yang
AAAI
1996
13 years 9 months ago
Spatial Aggregation: Language and Applications
This paper describes the spatial aggregation language and its applications. Spatial aggregation comprises a framework and a mechanism for organizing computations around image-like...
Christopher Bailey-Kellogg, Feng Zhao, Kenneth Yip
MOBISYS
2005
ACM
14 years 7 months ago
A relative positioning system for co-located mobile devices
If a mobile computing device knows how it is positioned and oriented in relation to other devices nearby, then it can provide enhanced support for multi-device and multi-user inte...
Mike Hazas, Christian Kray, Hans-Werner Gellersen,...