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» Planning for Conditional Learning Routes
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ATAL
2010
Springer
13 years 8 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
ICC
2009
IEEE
195views Communications» more  ICC 2009»
14 years 1 months ago
Fairness-Aware Joint Routing and Scheduling in OFDMA-Based Cellular Fixed Relay Networks
Abstract— Relaying and orthogonal frequency division multiple access (OFDMA) are the accepted technologies for emerging wireless communications standards. The activities in many ...
Mohamed Salem, Abdulkareem Adinoyi, Mahmudur Rahma...
NCA
2007
IEEE
14 years 1 months ago
Implementing Atomic Data through Indirect Learning in Dynamic Networks
Developing middleware services for dynamic distributed systems, e.g., ad-hoc networks, is a challenging task given that such services deal with dynamically changing membership and...
Kishori M. Konwar, Peter M. Musial, Nicolas C. Nic...
AROBOTS
2007
159views more  AROBOTS 2007»
13 years 7 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
SASO
2009
IEEE
14 years 1 months ago
Self-organized Fault-tolerant Routing in Peer-to-Peer Overlays
—In sufficiently large heterogeneous overlays message loss and delays are likely to occur. This has a significant impact on overlay routing, especially on longer paths. The exi...
Wojciech Galuba, Karl Aberer, Zoran Despotovic, Wo...