OptimizingMARL: Developing Cooperative Game Environments Based on Multi-agent Reinforcement Learning

Thaís da Silva Ferreira; Esteban Clua; Troy Kohwalter; Rodrigo Pereira dos Santos

doi:10.1007/978-3-031-20212-4_7

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OptimizingMARL: Developing Cooperative Game Environments Based on Multi-agent Reinforcement Learning

Thaís da Silva Ferreira Esteban Clua Troy Kohwalter Rodrigo Pereira dos Santos

Year: 2022 Lecture notes in computer science Pages: 89-102 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-20212-4_7

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Keywords:

Reinforcement learning Computer science Task (project management) Process (computing) Dependency (UML) Domain (mathematical analysis) Human–computer interaction Artificial intelligence Reinforcement Engineering Systems engineering

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Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Artificial Intelligence in Games

Physical Sciences → Computer Science → Artificial Intelligence

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

OptimizingMARL: Developing Cooperative Game Environments Based on Multi-agent Reinforcement Learning

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