In order to improve the utilization of network resources and the speed of routing calculation, this paper proposes a dynamic routing method for large-scale low-orbit satellite networks based on multi-agent DQN location guided networks. With the training of a large amount of prior data, the ...
Path planning in autonomous driving systems remains a critical challenge, requiring algorithms capable of generating safe, efficient, and reliable routes.
master 1Branch0Tags Code This branch is48 commits behindguyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising:master. Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction),...
The main contribution of this study is the development of a framework for centralized multi-agent planning problems that outperform Multi-Agent DQNs for solving large-scale MMDPs and analysis of their performance. The second contribution of the study is to apply the framework to the problem of ...
(b) In the MARL paradigm, from the agent’s point of view, the other agents may be considered to be part of the environment, which of course changes due to the actions of all the agents. MASs can be used in several fields, for example, traffic control, network packet routing, ...