4544 search results - page 20 / 909 » Reinforcement Learning with Time |
131
Voted
HICSS
2000
IEEE
15 years 7 months ago
2000
IEEE
As knowledge becomes the primary focus of work in many industries, virtual communities and groups are emerging as part of new organizational forms. Within these virtual forms, eff...
143
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
202
Voted
NIPS
2008
15 years 4 months ago
2008
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
127
Voted
EUROCAST
2007
Springer
15 years 9 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...
118
Voted
GECCO
2004
Springer
15 years 8 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...