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» Reinforcement Learning: An Introduction
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121
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ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
15 years 9 months ago
Towards autonomous adaptive behavior in a bio-inspired CNN-controlled robot
— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Pa...
133
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DEXA
2004
Springer
172views Database» more  DEXA 2004»
15 years 8 months ago
On the Automation of Similarity Information Maintenance in Flexible Query Answering Systems
This paper proposes a method for automatic maintaining the similarity information for a particular class of Flexible Query Answering Systems (FQAS). The paper describes the three m...
Balázs Csanád Csáji, Josef K&...
CEC
2003
IEEE
15 years 8 months ago
Real-time adaptation technique to real robots: an experiment with a humanoid robot
We introduce a technique that allows a real robot to execute real-time learning, in which GP and RL are integrated. In our former research, we showed the result of an experiment wi...
Shotaro Kamio, Hitoshi Iba
EWRL
2008
15 years 5 months ago
Markov Decision Processes with Arbitrary Reward Processes
Abstract. We consider a control problem where the decision maker interacts with a standard Markov decision process with the exception that the reward functions vary arbitrarily ove...
Jia Yuan Yu, Shie Mannor, Nahum Shimkin
ESANN
2007
15 years 4 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...