
Learning to Act in Continuous Dec-POMDPs
Author(s) -
Jilles Dibangoye,
Olivier Buffet
Publication year - 2018
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - reinforcement learning , markov decision process , scalability , computer science , mathematical optimization , maximization , greedy algorithm , integer programming , local optimum , integer (computer science) , observable , markov process , linear programming , artificial intelligence , mathematics , algorithm , statistics , physics , quantum mechanics , database , programming language