1236 search results - page 110 / 248 » Opposition-Based Reinforcement Learning |
109
Voted
CG
2000
Springer
15 years 5 months ago
2000
Springer
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
124
Voted
ICAC
2008
IEEE
15 years 7 months ago
2008
IEEE
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
103
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
109
Voted
HIS
2004
15 years 2 months ago
2004
In this paper, we describe how certain aspects of the biological phenomena of stigmergy can be imported into multiagent reinforcement learning (MARL), with the purpose of better e...
105
Voted
ICRA
2009
IEEE
15 years 7 months ago
2009
IEEE
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...