Multi-Agent Deep Reinforcement Learning to Improve Efficiency of Autonomous Mining Transportation

Author:

Pei Shuwei,Yang Jue

Publisher

Elsevier BV

Reference47 articles.

1. An Agent-based System for Truck Dispatching in Open-pit Mines;Gabriel Ahumada;ICAART,2020

2. Multi-objective evolutionary algorithms for the truck dispatch problem in open-pit mining operations;Rafael F Alexandre;Learn. Nonlinear Models,2019

3. Modelling and optimizing an open-pit truck scheduling problem;Yonggang Chang;Discrete Dynamics in nature and Society,2015

4. Multi-agent deep reinforcement learning for large-scale traffic signal control;Tianshu Chu;IEEE Transactions on Intelligent Transportation Systems,2019

5. Integrating Production Planning with Truck-Dispatching Decisions through Reinforcement Learning While Managing Uncertainty;Joao De Carvalho;Ercelebi, Selamet G and Bascetin,2009

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