Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments.
Han WangSihong HeZhili ZhangFei MiaoJames AndersonPublished in: CoRR (2024)
Keyphrases
- heterogeneous environments
- reinforcement learning
- highly distributed
- web services
- collaborative learning
- function approximation
- learning algorithm
- digital libraries
- multi agent
- markov decision processes
- machine learning
- state space
- reinforcement learning algorithms
- learning rate
- knowledge sharing
- data sources
- model free
- transfer learning
- optimal policy
- development process
- distributed systems
- low cost
- loosely coupled
- information systems
- federated search
- geographically dispersed
- dynamic programming