Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee.
Flint Xiaofeng FanYining MaZhongxiang DaiWei JingCheston TanBryan Kian Hsiang LowPublished in: NeurIPS (2021)
Keyphrases
- fault tolerant
- theoretical guarantees
- reinforcement learning
- distributed systems
- fault tolerance
- policy iteration
- worst case
- load balancing
- function approximation
- model free
- optimal policy
- markov decision processes
- state space
- learning algorithm
- temporal difference
- digital libraries
- optimal control
- machine learning
- dynamic programming
- high assurance
- graphical models
- multi agent systems
- high availability
- markov decision process
- multi agent
- safety critical