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» Learning from examples in unstructured, outdoor environments
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AGENTS
1999
Springer
13 years 11 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
BMCBI
2008
220views more  BMCBI 2008»
13 years 7 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
ECTEL
2010
Springer
13 years 7 months ago
Components of a Research 2.0 Infrastructure
In this paper, we investigate the components of a Research 2.0 infrastructure. We propose building blocks and their concrete implementation to leverage Research 2.0 practice and te...
Thomas Daniel Ullmann, Fridolin Wild, Peter Scott,...
ICRA
2003
IEEE
111views Robotics» more  ICRA 2003»
14 years 21 days ago
Multi-robot team response to a multi-robot opponent team
Adversarial multi-robot problems, where teams of robots compete with one another, require the development of approaches that span all levels of control and integrate algorithms ra...
James Bruce, Michael H. Bowling, Brett Browning, M...
CHI
2004
ACM
14 years 7 months ago
Science at the Speed of Thought
Abstract. In this paper we describe a virtual laboratory that is designed to accelerate scientific exploration and discovery by minimizing the time between the generation of a scie...
Judith Ellen Devaney, Steven G. Satterfield, John ...