Utilising Assured Multi-Agent Reinforcement Learning within Safety-Critical Scenarios.
Joshua RileyRadu CalinescuColin PatersonDaniel KudenkoAlec BanksPublished in: KES (2021)
Keyphrases
- multi agent reinforcement learning
- safety critical
- formal methods
- fault tolerant
- safety analysis
- embedded systems
- agent architecture
- multi agent
- learning agents
- multi agent learning
- reinforcement learning
- multi agent systems
- support systems
- expert systems
- knowledge acquisition
- semi automatic
- real time
- cooperative
- learning agent
- stochastic games
- e learning
- learning algorithm