… We explore the unique characteristics of Getir’s challenge in comparison to current order …
multi-agent RL with KL (Kullback–Leibler) divergence advancement to accelerate the learning …

… 摘要(英) With the advancement of autonomous driving … In the literature, recent research
recent research on autonomous … using deep reinforcement learning. This mechanism enables …

… in multi-agent systems and has been widely applied in practical scenarios such as automated
intelligent warehousing, autonomous … a series of machine learning-empowered MAPF …

… Multi-agent deep reinforcement learning for HVAC control in commercial buildings. IEEE
Transactions on Smart Grid, 2021, 12(1): 407-419 doi: 10.1109/TSG.2020.3011739 …

… 摘要(英) With the advancement of technology, the application of electronic products is
increasingly developed, and TFT-LCD panels are commonly used in electronic devices such as …

… Deep reinforcement learning on autonomous driving policy … Automated vehicle’s behavior
decision making using deep … reference value for the advancement of CVIS technology, but …

… A primary subtext of new complexity music has been the placement of control - more
firmly than ever - in the hands of the composer by means of increasingly specific notational …

… With the advancement of the Internet of Things, big data, and artificial intelligence, data-…
Model free adaptive predictive control of multivariate molten iron quality in blast furnace …

… current stage of development within parametricism is as much to do with the continuous
advancement … has been the swarm logic of multi-agent systems,especially the use of the software…

… On this basis, the current development of hydrogen energy based on the complementary …
Intelligent power generation control method based on multi-agent reinforcement learning …