<--- Back to Details
First PageDocument Content
Computational neuroscience / Artificial intelligence / Machine learning algorithms / Neuroscience / Applied mathematics / Artificial neural networks / Reinforcement learning / Q-learning / Convolutional neural network / Distributed artificial intelligence / Deep learning / Intelligent agent
Date: 2017-11-03 18:51:37
Computational neuroscience
Artificial intelligence
Machine learning algorithms
Neuroscience
Applied mathematics
Artificial neural networks
Reinforcement learning
Q-learning
Convolutional neural network
Distributed artificial intelligence
Deep learning
Intelligent agent

Cooperative Multi-Agent Control Using Deep Reinforcement Learning Jayesh K. Gupta Maxim Egorov

Add to Reading List

Source URL: platformlab.stanford.edu

Download Document from Source Website

File Size: 605,76 KB

Share Document on Facebook

Similar Documents

Mathematics / Computer arithmetic / Numerical analysis / Applied mathematics / Arithmetic / Interval arithmetic / Computer-assisted proof / Computational science / Scan

SCAN 2018 Post-conference Proceedings Special Issue of Journal of Computational and Applied Mathematics Call for Papers Special Issue on the 18th International Symposium on Scientific Computing, Computer Arithmetic,

DocID: 1xVSx - View Document

Computer programming / Statistical randomness / Computing / Operations research / Queueing theory / Markov processes / Recursion / Theoretical computer science / Qt / Queue / Linear programming / Mathematical optimization

Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities by John S. Hollywood S.B. Applied Mathematics

DocID: 1xVdz - View Document

Mathematical analysis / Probability and statistics / Probability theory / Machine learning / Computational neuroscience / Computational statistics / Artificial neural networks / Bayesian statistics / Gaussian function / Mixture model / Mixture distribution / Joint probability distribution

Mixture Density Networks Christopher M. Bishop Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston University

DocID: 1xUJf - View Document

Mat / Picture framing / Large ElectronPositron Collider

Mathematics_BS_Applied.pdf

DocID: 1xTYO - View Document

A BOOTSTRAP INTERVAL ESTIMATOR FOR BAYES’ CLASSIFICATION ERROR Chad M. Hawes and Carey E. Priebe Johns Hopkins University Department of Applied Mathematics and Statistics Baltimore, MDABSTRACT

DocID: 1vrMQ - View Document