1236 search results - page 81 / 248 » Opposition-Based Reinforcement Learning |
117
Voted
ECML
2004
Springer
15 years 6 months ago
2004
Springer
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
117
Voted
SGAI
2004
Springer
15 years 6 months ago
2004
Springer
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
101
Voted
AAMAS
2007
Springer
15 years 24 days ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
85
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AAMAS
2005
Springer
15 years 17 days ago
2005
Springer
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...
112
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EVOW
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...