Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes.
Di WangYao WangShaojie TangShao-Bo LinPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- multi agent
- function approximation
- scalable distributed
- model free
- reinforcement learning algorithms
- cooperative
- action selection
- distributed environment
- learning algorithm
- data intensive
- state space
- distributed systems
- optimal policy
- reinforcement learning methods
- lightweight
- temporal difference learning
- dynamic environments
- learning process
- dynamic programming
- markov decision processes
- support vector machine
- peer to peer
- temporal difference
- multi agent systems
- partially observable
- single agent
- function approximators
- mobile agents
- online learning