mlsanityData to 7 Oct 2026

Deep Learning for Video Game Playing

arXiv 1708.07902 ↗First posted 25 Aug 2017cs.AIcited by 30

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Abstract (arXiv)

In this article, we review recent Deep Learning advances in the context of how they have been applied to play different types of video games such as first-person shooters, arcade games, and real-time strategy games. We analyze the unique requirements that different game genres pose to a deep learning system and highlight important open challenges in the context of applying these machine learning methods to video games, such as general game playing, dealing with extremely large decision spaces and sparse rewards.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Aug 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 7; 2023: 6; 2024: 4; 2025: 5; 2026: 1.

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  1. 2021MarioNette: Self-Supervised Sprite Learningcited by 35
  2. 2023A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRUcited by 25
  3. 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequencescited by 22
  4. 2025A Survey of Continual Reinforcement Learningcited by 16
  5. 2022CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learningcited by 15
  6. 2022Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectorscited by 14
  7. 2021High-Accuracy Model-Based Reinforcement Learning, a Surveycited by 13
  8. 2022Learning to Generalize with Object-centric Agents in the Open World Survival Game Craftercited by 13
  9. 2021Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learningcited by 9
  10. 2022Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communicationscited by 9
  11. 2025A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Gamescited by 9
  12. 2021A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunitiescited by 5
18 more
  1. 2023Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Reviewcited by 5
  2. 2021Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learningcited by 3
  3. 2023The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learningcited by 3
  4. 2024How to Choose a Reinforcement-Learning Algorithmcited by 3
  5. 2022Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learningcited by 2
  6. 2025Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovationscited by 2
  7. 2021Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interactioncited by 1
  8. 2021Safer Reinforcement Learning through Transferable Instinct Networkscited by 1
  9. 2022Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic Systemcited by 1
  10. 2023User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networkscited by 1
  11. 2024Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Gamescited by 1
  12. 2025Cultivating Game Sense for Yourself: Making VLMs Gaming Expertscited by 1
  13. 2025How LLMs are Shaping the Future of Virtual Realitycited by 1
  14. 2022Visual Radial Basis Q-Networkcited by 0
  15. 2023Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problemcited by 0
  16. 2023Evolutionary Machine Learning and Gamescited by 0
  17. 2024Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Reportcited by 0
  18. 2026Augmenting Game AI with Deep Reinforcement Learningcited by 0