Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines.
Tobias MüllerChristoph RochKyrill SchmidPhilipp AltmannPublished in: ICAART (1) (2022)
Keyphrases
- multi agent reinforcement learning
- boltzmann machines
- boltzmann machine
- learning tasks
- multi agent
- approximate inference
- learning agents
- reinforcement learning
- multi agent systems
- stochastic games
- multi agent learning
- conditional random fields
- learning algorithm
- generative model
- maximum likelihood estimation
- undirected graphical models
- decision trees
- e learning
- artificial intelligence