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AIIDE
2006
14 years 11 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
168
Voted

Publication
402views
16 years 8 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
15 years 4 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»
15 years 4 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
73
Voted
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 4 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 ...