Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis.
Guangchen LanDong-Jun HanAbolfazl HashemiVaneet AggarwalChristopher G. BrintonPublished in: CoRR (2024)
Keyphrases
- convergence analysis
- learning algorithm
- reinforcement learning
- policy gradient
- model free
- global convergence
- state space
- optimization algorithm
- monte carlo
- dynamic programming
- worst case
- particle swarm optimization
- computational complexity
- approximation methods
- optimal solution
- objective function
- machine learning
- dynamical systems
- optimization method
- convergence rate
- function approximation
- cost function
- actor critic