Data-Driven Decision Making and Near-Optimal Path Planning for Multiagent System in Games
Author:
Affiliation:
1. School of Astronautics, Beihang University, Beijing, China
2. Institute of Artificial Intelligence, Beihang University, Beijing, China
3. Zhongguancun Laboratory, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Beijing Natural Science Foundation
Beijing Nova Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Pharmacology (medical)
Link
http://xplorestaging.ieee.org/ielx7/8253411/10226524/10172334.pdf?arnumber=10172334
Reference25 articles.
1. Design and Analysis of State-Feedback Optimal Strategies for the Differential Game of Active Defense
2. Evolutionary Algorithm-based Attack Strategy with Swarm Robots in Denied Environments
3. Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted Learning
4. Hierarchical fuzzy ART for Q-learning and its application in air combat simulation
5. Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method
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