Federated Reinforcement Learning: Techniques, Applications, and Open Challenges.
Jiaju QiQihao ZhouLei LeiKan ZhengPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- key issues
- multi agent
- digital libraries
- open issues
- state space
- application scenarios
- real world
- learning algorithm
- distributed systems
- markov decision processes
- lessons learned
- multi agent reinforcement learning
- optimal policy
- technical challenges
- temporal difference
- robotic control
- optimal control
- dynamical systems
- data sets
- supervised learning
- dynamic programming
- information technology
- information systems
- neural network