Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment.
Yanbin LinZhen NiXiangnan ZhongPublished in: IJCNN (2022)
Keyphrases
- predator prey
- grid environment
- virtual agents
- reinforcement learning
- multi agent
- grid computing
- cellular automata
- resource allocation
- data access
- virtual environment
- mathematical modeling
- scheduling algorithm
- virtual world
- decision making
- human computer
- agent model
- computational models
- resource management
- machine learning
- agent technology
- response time
- service providers
- human users
- cooperative
- data mining
- cognitive architecture
- particle swarm
- database systems
- vision system
- computational model