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AIIDE
2006
13 years 9 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan

Publication
402views
15 years 6 months ago
Geometric Broadcast Protocol for Heterogeneous Wireless Networks
We present Geometric Broadcast for Heterogeneous Sensor Networks (GBS), a novel broad- casting protocol for heterogeneous wireless sensor and actor networks. While broadcasting is ...
V. Paruchuri, A. Durresi, Raj Jain
SASO
2009
IEEE
14 years 2 months ago
Distributed W-Learning: Multi-Policy Optimization in Self-Organizing Systems
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
Ivana Dusparic, Vinny Cahill
ICC
2007
IEEE
220views Communications» more  ICC 2007»
14 years 2 months ago
Broadcasting Protocols for Multi-Radio Multi-Channel and Multi-Rate Mesh Networks
— A vast amount of broadcasting protocols has been developed for wireless ad hoc networks. To the best of our knowledge, however, these protocols assume a single-radio singlechan...
Min Song, Jun Wang, Qun Hao
ICC
2007
IEEE
125views Communications» more  ICC 2007»
14 years 2 months ago
Disruption-Tolerant Routing with Scoped Propagation of Control Information
— We consider the problem of routing messages through a network with episodic connectivity without a priori knowledge of node schedules or locations. We present Steward Assisted ...
Jay Boice, Jose Joaquin Garcia-Luna-Aceves, Katia ...