495 search results - page 31 / 99 » Constructing States for Reinforcement Learning |
124
click to vote
AUSAI
2004
Springer
15 years 9 months ago
2004
Springer
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcemen...
150
click to vote
AGENTS
2001
Springer
15 years 8 months ago
2001
Springer
We report on the use of reinforcement learning with Cobot, a software agent residing in the wellknown online community LambdaMOO. Our initial work on Cobot (Isbell et al.2000) pro...
127
click to vote
ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
125
click to vote
FUZZIEEE
2007
IEEE
15 years 10 months ago
2007
IEEE
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
122
click to vote
ICMLA
2007
15 years 5 months ago
2007
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...