There is a newer version of the record available.

Published December 28, 2018 | Version v1
Working paper Open

Learning Complex Group Behaviors in a Multi-Agent Competitive Environment

Authors/Creators

  • 1. Kazim
  • 2. Afshan

Description

The aim of this project is to use reinforcement learning algorithms to explore predator-prey
dynamics, such as those seen when predator fish and prey fish interact in nature. In order to do so, we trained 2 competitive groups of agents using some reinforcement learning algorithms. 

Files

Learning Complex Group Behaviours in a Multi-Agent Competitive Environment.pdf

Files (1.3 MB)

Name Size Download all
md5:5f9575af0037a3ed63d513b9ba6ae5bd
5.2 kB Download
md5:8af2693c1bb710abe0ee6cf9fb48107c
1.3 MB Preview Download
md5:fc485420a9653ee60c67f400c9d5020f
7.7 kB Download
md5:b2978e9855b832bc0c5d0bfd54c1530e
11.8 kB Download
md5:f7882cedad6dfbb9d64df0763b5d1a79
13.1 kB Download