495 search results - page 48 / 99 » Constructing States for Reinforcement Learning |
212
click to vote
NIPS
2008
15 years 5 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 ...
141
click to vote
ICML
2002
IEEE
16 years 5 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
137
click to vote
ATAL
2006
Springer
15 years 8 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...
159
click to vote
GECCO
2008
Springer
15 years 5 months ago
2008
Springer
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
140
click to vote
EUROCAST
2007
Springer
15 years 10 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...