Poster: Multi-Agent Transformer for Dynamic Allocation of Distributed Applications on the Edge

Edge computing has to potential to deliver vital low-latency services for ITS. However, due to the limited resources available on the edge, carefully allocating such services and adapting to changes in client distribution is necessary. In this poster, we show that a MAT reinforcement learning approach can perform better than heuristics.