Constrained Deep Reinforcement Learning for Fronthaul Compression Optimization.
Axel GrönlandAlessio RussoYassir JedraBleron KlaiqiXavier GelabertPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- concave convex procedure
- function approximation
- saddle point
- image compression
- optimization process
- global optimization
- neural network
- optimization algorithm
- optimization problems
- multi agent
- optimal policy
- markov decision processes
- optimization method
- compression algorithm
- multi objective
- reinforcement learning algorithms
- deep learning
- discrete optimization
- transition model
- data sets