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ICML
2005
IEEE
14 years 9 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
CEC
2007
IEEE
14 years 3 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
ICRA
1999
IEEE
138views Robotics» more  ICRA 1999»
14 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»
14 years 3 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»
14 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