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Using reinforcement learning to design an AI assistantfor a satisfying co-op experience

arXiv 2105.03414 ↗First posted 7 May 2021cs.AIcited by 0

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Abstract (arXiv)

In this project, we designed an intelligent assistant player for the single-player game Space Invaders with the aim to provide a satisfying co-op experience. The agent behaviour was designed using reinforcement learning techniques and evaluated based on several criteria. We validate the hypothesis that an AI-driven computer player can provide a satisfying co-op experience.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 5 references that are in the map. First posted on arXiv 7 May 2021.

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2 of 5 references.

References · 2

  1. 2016Asynchronous Methods for Deep Reinforcement Learningcited by 2,258
  2. 2019CraftAssist: A Framework for Dialogue-enabled Interactive Agentscited by 28

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