The most prominent "deep paper" series comes from the , which won the RoboCup 2021 championship. Their team description papers (TDPs) detail how they use Deep Neural Networks (DNNs) and Reinforcement Learning to master multi-agent coordination.
: The team provides open-access resources, including their CYRUS 2014 source code and a Python base code for the community. 2. Cyrus+ (5G & Open RAN) The most prominent "deep paper" series comes from
: The team developed a custom C++ library called CppDNN to run neural networks trained in Keras directly in the 2D Soccer Simulation environment. The most prominent "deep paper" series comes from
Another significant technical paper introduces , a Deep Reinforcement Learning (DRL) solution designed for 5G NR networks. The most prominent "deep paper" series comes from