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» Policy Gradient Methods for Robotics
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AIPS
2009
13 years 9 months ago
Automatic Derivation of Memoryless Policies and Finite-State Controllers Using Classical Planners
Finite-state and memoryless controllers are simple action selection mechanisms widely used in domains such as videogames and mobile robotics. Memoryless controllers stand for func...
Blai Bonet, Héctor Palacios, Hector Geffner
IROS
2007
IEEE
113views Robotics» more  IROS 2007»
14 years 2 months ago
Valet parking without a valet
— What would it be like if we could give our robot high level commands and it would automatically execute them in a verifiably correct fashion in dynamically changing environmen...
David C. Conner, Hadas Kress-Gazit, Howie Choset, ...
JMLR
2010
148views more  JMLR 2010»
13 years 2 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
ICRA
2005
IEEE
121views Robotics» more  ICRA 2005»
14 years 1 months ago
First Experiments in the Robotic Investigation of Life in the Atacama Desert of Chile
- The Atacama Desert of northern Chile may be the most lifeless place on Earth, yet where the desert meets the Pacific coastal range desiccation-tolerant micro-organisms are known ...
David Wettergreen, Nathalie Cabrol, James Teza, Pa...
CEC
2009
IEEE
14 years 18 days ago
Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
— The bootstrap problem is often recognized as one of the main challenges of evolutionary robotics: if all individuals from the first randomly generated population perform equal...
Jean-Baptiste Mouret, Stéphane Doncieux