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» An autonomous explore exploit strategy
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95
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ICML
2005
IEEE
15 years 10 months ago
Exploration and apprenticeship learning in reinforcement learning
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
Pieter Abbeel, Andrew Y. Ng
79
Voted
CEC
2007
IEEE
15 years 4 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
80
Voted
ICRA
1999
IEEE
138views Robotics» more  ICRA 1999»
15 years 1 months ago
Efficient Topological Exploration
We consider the robot exploration of a planar graphlike world. The robot's goal is to build a complete map of its environment. The environment is modeled as an arbitrary undi...
Ioannis M. Rekleitis, Vida Dujmovic, Gregory Dudek
CRV
2009
IEEE
206views Robotics» more  CRV 2009»
15 years 4 months ago
Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration
We describe a navigation and coverage system based on unsupervised learning driven by visual input. Our objective is to allow a robot to remain continuously moving above a terrain...
Philippe Giguère, Gregory Dudek, Chris Prah...
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
15 years 3 months ago
Learning to Select State Machines using Expert Advice on an Autonomous Robot
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
Brenna Argall, Brett Browning, Manuela M. Veloso