The Malmo Platform for Artificial Intelligence Experimentation
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4246-4246.
Abstract
We present Project Malmo - an AI experimentation platform built on top of the popular computer game Minecraft, and designed to support fundamental research in artificial intelligence. As the AI research community pushes for artificial general intelligence (AGI), experimentation platforms are needed that support the development of flexible agents that learn to solve diverse tasks in complex environments. Minecraft is an ideal foundation for such a platform, as it exposes agents to complex 3D worlds, coupled with infinitely varied game-play. Project Malmo provides a sophisticated abstraction layer on top of Minecraft that supports a wide range of experimentation scenarios, ranging from navigation and survival to collaboration and problem solving tasks. In this demo we present the Malmo platform and its capabilities. The platform is publicly released as open source software at IJCAI, to support openness and collaboration in AI research.
@inproceedings{ijcai2016p643,
title = {The Malmo Platform for Artificial Intelligence Experimentation},
author = {Johnson, Matthew and Hofmann, Katja and Hutton, Tim and Bignell, David},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4246--4246},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/643},
}
TY - CPAPER TI - The Malmo Platform for Artificial Intelligence Experimentation AU - Johnson, Matthew AU - Hofmann, Katja AU - Hutton, Tim AU - Bignell, David T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4246 EP - 4246 UR - https://ijcai.org/proceedings/2016/643 ER -Copied
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