286 search results - page 4 / 58 » Using inaccurate models in reinforcement learning |
150
Voted
LAMAS
2005
Springer
15 years 9 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...
126
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IJON
2006
15 years 3 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...
155
Voted
EACL
2006
ACL Anthology
15 years 5 months 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 ...
124
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ICRA
2005
IEEE
15 years 9 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...
142
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ICRA
2010
IEEE
15 years 2 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...