2 code implementations • 7 Jul 2016 • Afshin Oroojlooyjadid, Lawrence Snyder, Martin Takáč
However, approximating the probability distribution is not easy and is prone to error; therefore, the resulting solution to the newsvendor problem may be not optimal.
no code implementations • 20 Aug 2017 • Afshin Oroojlooyjadid, MohammadReza Nazari, Lawrence Snyder, Martin Takáč
The game is a decentralized, multi-agent, cooperative problem that can be modeled as a serial supply chain network in which agents cooperatively attempt to minimize the total cost of the network even though each agent can only observe its own local information.
no code implementations • 20 Sep 2017 • Afshin Oroojlooyjadid, Lawrence Snyder, Martin Takáč
In multi-echelon inventory systems the performance of a given node is affected by events that occur at many other nodes and in many other time periods.
no code implementations • 11 Aug 2019 • Afshin Oroojlooyjadid, Davood Hajinezhad
Due to the recent success of MARL in real-world applications, we assign a section to provide a review of these applications and corresponding articles.
Multi-agent Reinforcement Learning reinforcement-learning +1