Reinforcement Learning in Tower Defense

Author:

Dias Augusto,Foleiss Juliano,Lopes Rui PedroORCID

Publisher

Springer International Publishing

Reference14 articles.

1. Justesen, N., Bontrager, P., Togelius, J., Risi, S.: Deep Learning for Video Game Playing. arxiv (2017). https://arxiv.org/pdf/1708.07902.pdf

2. Peng, P., et al.: Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games. CoRR (2017). http://arxiv.org/abs/1703.10069

3. Gym library. https://gym.openai.com/. Accessed 16 May 2020

4. Deep Q-Learning with Keras and Gym. https://keon.github.io/deep-q-learning/. Accessed 20 May 2020

5. How to teach AI to play Games: Deep Reinforcement Learning. https://towardsdatascience.com/how-to-teach-an-ai-to-play-games-deep-reinforcement-learning-28f9b920440a. Accessed 12 May 2020

Cited by 2 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. Reinforcement Learning for High-Level Strategic Control in Tower Defense Games;2024 IEEE Conference on Games (CoG);2024-08-05

2. Suitability of Dynamic Environments in Virtual Reality for Schizophrenia Therapies;2023 7th International Conference on Computer, Software and Modeling (ICCSM);2023-07-21

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