Energy-based Surprise Minimization for Multi-Agent Value Factorization.
Karush SuriXiao Qi ShiKonstantinos N. PlataniotisYuri A. LawryshynPublished in: CoRR (2020)
Keyphrases
- multi agent
- cooperative
- reinforcement learning
- objective function
- multi agent systems
- pairwise
- intelligent agents
- matrix factorization
- non rigid structure from motion
- singular value decomposition
- kronecker product
- software agents
- sparse matrices
- multi agent architecture
- team formation
- agent oriented
- multiple agents
- genetic algorithm
- autonomous agents
- feature selection