Tutorial on Graph Reinforcement Learning: RL, Graph Neural Networks, and Applications to Mobility

Tutorial on Graph Reinforcement Learning: RL, Graph Neural Networks, and Applications to Mobility

Daniele Gammelli, postdoctoral scholar in the Autonomous Systems Lab, will lead this tutorial to introduce core concepts in the fields of Deep Reinforcement Learning and Graph Neural Networks from the ground up. By the end of the tutorial we will have introduced modern (graph-)reinforcement learning methods, and how to apply them in practice through a case study on intelligent transportation systems. The agenda is available here and join us on Zoom here.