Federated Reinforcement Learning with Constraint Heterogeneity.
Hao JinLiangyu ZhangZhihua ZhangPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- function approximation
- state space
- machine learning
- model free
- digital libraries
- linear constraints
- reinforcement learning algorithms
- multi agent
- learning algorithm
- data sources
- multi agent reinforcement learning
- databases
- optimal control
- temporal difference
- reward function
- highly heterogeneous
- federated databases
- stochastic approximation
- constrained minimization
- learning problems
- robot control
- optimal policy
- distributed systems
- learning process
- case study
- real world