Amanote Research

Amanote Research

    RegisterSign In

Reinforcement Learning for Decentralized Stochastic Control

doi 10.1109/cdc40024.2019.9030158
Full Text
Open PDF
Abstract

Available in full text

Date

December 1, 2019

Authors
Bora YongacogluGurdal ArslanSerdar Yuksel
Publisher

IEEE


Related search

On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference

2012English

Hysteretic Q-Learning :An Algorithm for Decentralized Reinforcement Learning in Cooperative Multi-Agent Teams

2007English

SAMoD: Shared Autonomous Mobility-On-Demand Using Decentralized Reinforcement Learning

2018English

Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains

2006English

Stochastic Power Control for Wireless Systems: Centralized Dynamic Solutions and Aspects of Decentralized Control

IFAC Proceedings Volumes
2002English

Multi-Agent Inverse Reinforcement Learning for Certain General-Sum Stochastic Games

Journal of Artificial Intelligence Research
Artificial Intelligence
2019English

Pain: A Precision Signal for Reinforcement Learning and Control

Neuron
Neuroscience
2019English

Reinforcement Learning for Online Maximum Power Point Tracking Control

Journal of Clean Energy Technologies
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy