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RAS
2008
150views more  RAS 2008»
13 years 8 months ago
Logic-based robot control in highly dynamic domains
In this paper we present the robot programming and planning language Readylog, a Golog dialect which was developed to support the decision making of robots acting in dynamic real-...
Alexander Ferrein, Gerhard Lakemeyer
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
13 years 7 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone
AGI
2011
13 years 2 days ago
Coherence Progress: A Measure of Interestingness Based on Fixed Compressors
The ability to identify novel patterns in observations is an essential aspect of intelligence. In a computational framework, the notion of a pattern can be formalized as a program ...
Tom Schaul, Leo Pape, Tobias Glasmachers, Vincent ...
CIMCA
2008
IEEE
14 years 2 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
ATAL
2007
Springer
14 years 2 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
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