no code implementations • 24 Apr 2023 • Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas, Syed Muhammad Asad Zaidi, Hasan Farooq, Julien Forgeat, Maxime Bouton, Shruti Bothe, Per Karlsson, Ali Rizwan, Ali Imran
The extensive survey of training data scarcity addressing techniques combined with proposed framework to select a suitable technique for given type of data, can assist researchers and network operators in choosing appropriate methods to overcome the data scarcity challenge in leveraging AI to radio access network automation.
no code implementations • 30 Sep 2021 • Maxime Bouton, Hasan Farooq, Julien Forgeat, Shruti Bothe, Meral Shirazipour, Per Karlsson
In this work, we demonstrate how to use coordination graphs and reinforcement learning in a complex application involving hundreds of cooperating agents.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 30 Jul 2020 • Tyler Zhu, Per Karlsson, Christoph Bregler
Additionally, we present our model's 3D surface normal predictions on the MSCOCO dataset that lacks any real 3D surface normal labels.
no code implementations • ICLR 2019 • Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy
We present a method which learns to integrate temporal information, from a learned dynamics model, with ambiguous visual information, from a learned vision model, in the context of interacting agents.
no code implementations • 25 Feb 2019 • Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy
We present a method that learns to integrate temporal information, from a learned dynamics model, with ambiguous visual information, from a learned vision model, in the context of interacting agents.