A simulation and experimentation architecture for resilient cooperative multiagent reinforcement learning models operating in contested and dynamic environments.
Ishan HonhagaClaudia SzaboPublished in: Simul. (2024)
Keyphrases
- dynamic environments
- learning models
- cooperative
- multi agent
- autonomous agents
- single agent
- real environment
- machine learning
- multi agent systems
- learning problems
- mobile robot
- semi supervised learning
- loss function
- learning algorithm
- agent systems
- path planning
- learning tasks
- potential field
- classification models
- conditional random fields
- reinforcement learning agents
- intelligent agents
- machine learning algorithms
- multiagent systems
- probabilistic model
- information retrieval
- multiple agents
- active learning
- training set
- feature selection