3 accepted papers
In this work, we investigate cooperative strategies for an evader drone team of various sizes using multi-agent reinforcement learning in a multi-agent pursuit-evasion scenario. The objective of the evader team is to reach a goal with minimal velocity while not colliding with the pursuer team. The o…
In this work we develop a software-in-the-loop simulator platform for Crazyflie nano quadrotor drone fleets. One of the challenges in maintaining a large fleet of drones is ensuring that the fleet performs its task as expected without collision, and this becomes more challenging as the number of dro…
We introduce MedicalSum, a transformer-based sequence-to-sequence architecture for summarizing medical conversations by integrating medical domain knowledge from the Unified Medical Language System (UMLS). The novel knowledge augmentation is performed in three ways: (i) introducing a guidance signal…