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2019 AAAI AAAI 2019

Strategic Tasks for Explainable Reinforcement Learning

Abstract

Abstract Commonly used sequential decision making tasks such as the games in the Arcade Learning Environment (ALE) provide rich observation spaces suitable for deep reinforcement learning. However, they consist mostly of low-level control tasks which are of limited use for the development of explainable artificial intelligence(XAI) due to the fine temporal resolution of the tasks. Many of these domains also lack built-in high level abstractions and symbols. Existing tasks that provide for both strategic decision-making and rich observation spaces are either difficult to simulate or are intractable. We provide a set of new strategic decision-making tasks specialized for the development and evaluation of explainable AI methods, built as constrained mini-games within the StarCraft II Learning Environment.

🚀 Conference Pioneer — AAAI 2019
🌉 Interdisciplinary Bridge — Artificial Intelligence and Deep Learning and Machine Learning and Reinforcement Learning
🐣 Hot Topic Early Bird — game ai
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Rey Pocius , Lawrence Neal , Alan Fern

Topics

Artificial Intelligence > Core AI > Game AI Artificial Intelligence > Core AI > Interpretability Reinforcement Learning > Methods > Deep RL Reinforcement Learning > Applications > Game AI Machine Learning > Learning Types > Reinforcement Learning Deep Learning > Learning Types > Reinforcement Learning Artificial Intelligence > Core AI > Reinforcement Learning

Keywords

deep reinforcement learning reinforcement learning game artificial intelligence explainable ai arcade learning environment strategic decision-making game ai starcraft ii explainable artificial intelligence strategic decision making
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