no code implementations • 6 Feb 2023 • Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar
In our proposed method, when one agent updates its policy, other agents are allowed to update their policies as well, but at a slower rate.
no code implementations • 1 Feb 2022 • Amir Ardalan Kalantari, Mohammad Amini, Sarath Chandar, Doina Precup
Much of recent Deep Reinforcement Learning success is owed to the neural architecture's potential to learn and use effective internal representations of the world.
1 code implementation • 14 Jun 2020 • Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar
Our approach improves the robustness of CNN models against the manifold intrusion problem that may occur in other state-of-the-art mixing approaches.