Amanote Research
Register
Sign In
Natural Gradient Actor-Critic Algorithms Using Random Rectangular Coarse Coding
doi 10.1109/sice.2008.4654995
Full Text
Open PDF
Abstract
Available in
full text
Date
August 1, 2008
Authors
Hajime Kimura
Publisher
IEEE
Related search
Reinforcement Learning in Multi-Dimensional State-Action Space Using Random Rectangular Coarse Coding and Gibbs Sampling
Natural Option Critic
Proceedings of the AAAI Conference on Artificial Intelligence
Asymmetric Actor Critic for Image-Based Robot Learning
Adaptive Proportional Fair Parameterization Based LTE Scheduling Using Continuous Actor-Critic Reinforcement Learning
Design of Autonomous Trading Agent Using Natural Actor-Critic Method to Realize a Locally Produced and Consumed Electric Energy Network
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Liver Disorderprognosis With Apache Spark Random Forest and Gradient Booster Algorithms
International Journal of Innovative Technology and Exploring Engineering
Mechanics of Materials
Electronic Engineering
Civil
Structural Engineering
Electrical
Computer Science
Mapping to Coarse Grain Reconfigurable Arrays Using Evolutionary Algorithms
Arithmetic Coding of Messages Using Random Sequence
Prikladnaya Diskretnaya Matematika
Signal Processing
Combinatorics
Applied Mathematics
Mathematics
Discrete Mathematics
Computational Theory
Theoretical Computer Science
Stochastic Search Using the Natural Gradient
