I-D Action: draft-kim-nmlrg-network-00.txt
internet-drafts@ietf.org Mon, 13 March 2017 07:34 UTC
Return-Path: <internet-drafts@ietf.org>
X-Original-To: i-d-announce@ietf.org
Delivered-To: i-d-announce@ietfa.amsl.com
Received: from ietfa.amsl.com (localhost [IPv6:::1]) by ietfa.amsl.com (Postfix) with ESMTP id 06AF41294B3 for <i-d-announce@ietf.org>; Mon, 13 Mar 2017 00:34:28 -0700 (PDT)
MIME-Version: 1.0
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: 7bit
From: internet-drafts@ietf.org
To: i-d-announce@ietf.org
Subject: I-D Action: draft-kim-nmlrg-network-00.txt
X-Test-IDTracker: no
X-IETF-IDTracker: 6.47.0
Auto-Submitted: auto-generated
Precedence: bulk
Message-ID: <148939046801.17039.3990272045474241782@ietfa.amsl.com>
Date: Mon, 13 Mar 2017 00:34:28 -0700
Archived-At: <https://mailarchive.ietf.org/arch/msg/i-d-announce/MU8L4nqlS8IMZRLjyOkq3tncIOE>
X-BeenThere: i-d-announce@ietf.org
X-Mailman-Version: 2.1.17
Reply-To: internet-drafts@ietf.org
List-Id: Internet Draft Announcements only <i-d-announce.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/i-d-announce>, <mailto:i-d-announce-request@ietf.org?subject=unsubscribe>
List-Archive: <https://mailarchive.ietf.org/arch/browse/i-d-announce/>
List-Post: <mailto:i-d-announce@ietf.org>
List-Help: <mailto:i-d-announce-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/i-d-announce>, <mailto:i-d-announce-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 13 Mar 2017 07:34:28 -0000
A New Internet-Draft is available from the on-line Internet-Drafts directories. Title : Collaborative Intelligent Multi-agent Reinforcement Learning over a Network Authors : Min-Suk Kim Yong-Geun Hong Filename : draft-kim-nmlrg-network-00.txt Pages : 12 Date : 2017-03-13 Abstract: This document describes agent reinforcement learning (RL) in a distributed environment to transfer or share information for autonomous shortest path-planning over a communication network. The centralized node, which is the main node to manage agent workflow in hybrid peer-to-peer environment, provides a cumulative reward for each action that a given agent takes with respect to an optimal path based on a to-be-learned policy over the learning process. A reward from the centralized node is reflected when an agent explores to reach its destination for autonomous shortest path-planning in distributed nodes. The IETF datatracker status page for this draft is: https://datatracker.ietf.org/doc/draft-kim-nmlrg-network/ There's also a htmlized version available at: https://tools.ietf.org/html/draft-kim-nmlrg-network-00 Please note that it may take a couple of minutes from the time of submission until the htmlized version and diff are available at tools.ietf.org. Internet-Drafts are also available by anonymous FTP at: ftp://ftp.ietf.org/internet-drafts/
- I-D Action: draft-kim-nmlrg-network-00.txt internet-drafts