827 search results - page 12 / 166 » Variational methods for Reinforcement Learning |
140
Voted
ABIALS
2008
Springer
15 years 2 months ago
2008
Springer
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
106
click to vote
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
133
Voted
ICCBR
2009
Springer
15 years 7 months ago
2009
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
89
Voted
GECCO
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
116
Voted
COR
2008
15 years 15 days ago
2008
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...