Real Time Strategy Games: A Reinforcement Learning Approach

Procedia Computer Science ◽

10.1016/j.procs.2015.06.030 ◽

2015 ◽

Vol 54 ◽

pp. 257-264 ◽

Author(s):

Harshit Sethy ◽

Amit Patel ◽

Vineet Padmanabhan

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Learning Approach ◽

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Bi-level stochastic real-time pricing model in multi-energy generation system: A reinforcement learning approach

Energy ◽

10.1016/j.energy.2021.121926 ◽

2021 ◽

pp. 121926

Author(s):

Li Zhang ◽

Yan Gao ◽

Hongbo Zhu ◽

Li Tao

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Energy Generation ◽

Learning Approach ◽

Pricing Model ◽

Generation System ◽

System A ◽

Real Time Pricing

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Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning

10.1109/cog52621.2021.9619076 ◽

2021 ◽

Author(s):

Shengyi Huang ◽

Santiago Ontanon ◽

Chris Bamford ◽

Lukasz Grela

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

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Real-time scheduling for a smart factory using a reinforcement learning approach

Computers & Industrial Engineering ◽

10.1016/j.cie.2018.03.039 ◽

2018 ◽

Vol 125 ◽

pp. 604-614 ◽

Author(s):

Yeou-Ren Shiue ◽

Ken-Chuan Lee ◽

Chao-Ton Su

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Smart Factory ◽

Learning Approach ◽

Real Time Scheduling ◽

Time Scheduling

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Real-Time Order Scheduling in Credit Factories: A Multi-agent Reinforcement Learning Approach

Communications in Computer and Information Science - Intelligent Computing and Block Chain ◽

10.1007/978-981-16-1160-5_36 ◽

2021 ◽

pp. 461-475

Author(s):

Chaoqi Huang ◽

Runbang Cui ◽

Jiang Deng ◽

Ning Jia

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Learning Approach ◽

Order Scheduling ◽

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Scalable Multi-agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games

Neural Computing for Advanced Applications - Communications in Computer and Information Science ◽

10.1007/978-981-15-7670-6_36 ◽

2020 ◽

pp. 433-446

Author(s):

Zhentao Wang ◽

Weiwei Wu ◽

Ziyao Huang

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Strategy Games ◽

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Tabular Reinforcement Learning in Real-Time Strategy Games via Options

2018 IEEE Conference on Computational Intelligence and Games (CIG) ◽

10.1109/cig.2018.8490427 ◽

2018 ◽

Author(s):

Anderson R. Tavares ◽

Luiz Chaimowicz

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

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EXPERIMENTS WITH ONLINE REINFORCEMENT LEARNING IN REAL-TIME STRATEGY GAMES

Applied Artificial Intelligence ◽

10.1080/08839510903246526 ◽

2009 ◽

Vol 23 (9) ◽

pp. 855-871 ◽

Author(s):

Kresten Toftgaard Andersen ◽

Yifeng Zeng ◽

Dennis Dahl Christensen ◽

Dung Tran

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

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Hierarchical Reinforcement Learning for Real-Time Strategy Games

Proceedings of the 10th International Conference on Agents and Artificial Intelligence ◽

10.5220/0006593804700477 ◽

2018 ◽

Author(s):

Remi Niel ◽

Jasper Krebbers ◽

Madalina M. Drugan ◽

Marco A. Wiering

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Hierarchical Reinforcement Learning ◽

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A Semi-Markov Decision Model With Inverse Reinforcement Learning for Recognizing the Destination of a Maneuvering Agent in Real Time Strategy Games

IEEE Access ◽

10.1109/access.2020.2967642 ◽

2020 ◽

Vol 8 ◽

pp. 15392-15409

Author(s):

Yunxiu Zeng ◽

Kai Xu ◽

Long Qin ◽

Quanjun Yin

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Decision Model ◽

Inverse Reinforcement Learning ◽

Strategy Games ◽

Markov Decision ◽

Markov Decision Model

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Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games

10.1109/smc52423.2021.9658625 ◽

2021 ◽

Author(s):

Won Joon Yun ◽

Sungwon Yi ◽

Joongheon Kim

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Strategy Games ◽

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