286 search results - page 4 / 58 » Using inaccurate models in reinforcement learning |
112
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LAMAS
2005
Springer
15 years 5 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
IJON
2006
14 years 11 months ago
2006
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
100
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EACL
2006
ACL Anthology
15 years 29 days ago
2006
ACL Anthology
Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
ICRA
2005
IEEE
15 years 5 months ago
2005
IEEE
Abstract— This paper presents a technique for the Simultaneous Calibration of Action and Sensor Models (SCASM) on a mobile robot. While previous approaches to calibration make us...
ICRA
2010
IEEE
14 years 10 months ago
2010
IEEE
— 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...