267 search results - page 31 / 54 » The Dynamics of Multi-Agent Reinforcement Learning |
77
Voted
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
A long-standing challenge in interactive entertainment is the creation of story-based games with dynamically responsive story-lines. Such games are populated by multiple objects a...
EUROCAST
2007
Springer
15 years 3 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
ICAC
2008
IEEE
15 years 4 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...
123
click to vote
JMLR
2010
14 years 4 months ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
NIPS
2007
14 years 11 months ago
2007
Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...