Inference-based Reinforcement Learning and its Application to Dynamic Resource Allocation.
Paschalis TsiaflakisWerner CoomansPublished in: EUSIPCO (2022)
Keyphrases
- dynamic resource allocation
- reinforcement learning
- resource allocation
- function approximation
- probabilistic inference
- state space
- inference engine
- multi agent reinforcement learning
- inference mechanism
- reinforcement learning algorithms
- learning classifier systems
- monte carlo simulation
- bayesian inference
- database
- inference process
- markov decision processes
- supervised learning
- dynamic programming
- temporal difference learning
- machine learning
- allocation policies
- autonomous learning
- belief networks
- model free
- learning problems
- graphical models
- learning environment
- multi agent
- bayesian networks
- case study
- neural network