An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning.
Astrid VannesteSimon VannesteKevin MetsTom De SchepperSiegfried MercelisPeter HellinckxPublished in: CoRR (2023)
Keyphrases
- back propagation
- multi agent reinforcement learning
- neural nets
- learning algorithm
- feedforward neural networks
- neural network
- active learning
- supervised learning
- feed forward
- reinforcement learning
- learning agents
- artificial neural networks
- learning process
- discretization methods
- dynamic systems
- learning problems
- learning tasks
- multi agent
- decision trees
- multilayer perceptron
- knowledge acquisition
- learning rules
- cooperative
- stochastic games
- distributed control
- training data