Cogx 2018 - Learning To Play: The Multi-Agent Reinforcement Learning In Malmö Competition

CogX 2018 - Learning to Play: The Multi-Agent Reinforcement Learning in Malmö (MARLÖ) Competition

CogX

The Multi-Agent Reinforcement Learning in Malmo Competition (@ CogX 2018)

CogX 2018 - Machine Learning as an AI Toolkit | CogX

CogX

Multi-agent Reinforcement Learning

Multi-Agent Hide and Seek

Malmo CogSys agent demo

Learning to Communicate with Deep Multi-Agent Reinforcement Learning - Jakob Foerster

Training Multi agent system to master game of soccer

Himanshu Sundriyal

Reinforcement learning and game theorie ⎮ Zahra M.M.A. Sadiq

Multiagent DeepMind: Competitive Mode

Computational Neuroscience Lab at University of Tartu

Learning to Communicate with Deep Multi Agent Reinforcement Learning

Multi-Agent Competition 1

SOAS: Reward Machines for Cooperative Multi-Agent Reinforcement Learning

Roberto Ariosa Hernández

Malmo, Minecraft and Machine Learning with Dr. Katja Hofmann

Microsoft Research

Malmo SED agent demo

CogX 2018 - Machine Learning and New Radical Empiricism | CogX

CogX

Multi-agent learning & evaluation for open world games - Sam Devlin, Microsoft Research

The Alan Turing Institute

CogX 2018 - Opening the Turing Research Stage | CogX

CogX