Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning

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.

Continuous Coordination As a Realistic Scenario for Lifelong Learning

2 code implementations • 4 Mar 2021 • Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville, Sarath Chandar

Its large strategy space makes it a desirable environment for lifelong RL tasks.

Continual Learning Reinforcement Learning (RL)

PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks

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.