State-of-the-Art and Open Challenges in RTS Game-AI and Starcraft
Author:
Publisher
The Science and Information Organization
Subject
General Computer Science
Link
http://thesai.org/Downloads/Volume8No12/Paper_3-State_of_the_Art_and_Open_Challenges_in_RTS_Game.pdf
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Behaviour Discovery in Real-Time Strategy Games using Cooperative Co-evolution with Dynamic Binary Tree Decomposition;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14
2. Curriculum Generation and Sequencing for Deep Reinforcement Learning in StarCraft II;Australasian Computer Science Week 2022;2022-02-14
3. Playing First-Person Perspective Games with Deep Reinforcement Learning Using the State-of-the-Art Game-AI Research Platforms;Deep Learning for Unmanned Systems;2021
4. Playing Doom with Anticipator-A3C Based Agents Using Deep Reinforcement Learning and the ViZDoom Game-AI Research Platform;Deep Learning for Unmanned Systems;2021
5. Designing Curriculum for Deep Reinforcement Learning in StarCraft II;AI 2020: Advances in Artificial Intelligence;2020
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