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ICANNGA
2007
Springer
105views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
Reinforcement Learning in Fine Time Discretization
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
Pawel Wawrzynski
ASPDAC
2007
ACM
158views Hardware» more  ASPDAC 2007»
14 years 19 days ago
Symbolic Model Checking of Analog/Mixed-Signal Circuits
This paper presents a Boolean based symbolic model checking algorithm for the verification of analog/mixedsignal (AMS) circuits. The systems are modeled in VHDL-AMS, a hardware des...
David Walter, Scott Little, Nicholas Seegmiller, C...
EPEW
2006
Springer
14 years 9 days ago
Functional Performance Specification with Stochastic Probes
In this paper, we introduce FPS, a mechanism to define performance measures for stochastic process algebra models. FPS is a functional performance specification language which desc...
Ashok Argent-Katwala, Jeremy T. Bradley
ESANN
2007
13 years 10 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...
IJCAI
2003
13 years 10 months ago
Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr...