Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness.
Tongtong LiuJoe McCalmonMd Asifur RahmanCameron LischkeTalal HalabiSarra AlqahtaniPublished in: PRIMA (2022)
Keyphrases
- multi agent reinforcement learning
- theoretical and empirical study
- learning agent
- swarm intelligence
- multi agent
- learning agents
- stochastic games
- multi agent learning
- multi agent systems
- cooperative
- domain knowledge
- reinforcement learning
- artificial neural networks
- genetic algorithm ga
- knowledge base
- solving problems
- distributed control