Search Results for author: Ryan Yang

Found 3 papers, 1 papers with code

Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings

no code implementations28 Oct 2022 Ryan Yang, Haizhou Du, Andre Wibisono, Patrick Baker

Distributed machine learning (DML) can be an important capability for modern military to take advantage of data and devices distributed at multiple vantage points to adapt and learn.

PG3: Policy-Guided Planning for Generalized Policy Generation

1 code implementation21 Apr 2022 Ryan Yang, Tom Silver, Aidan Curtis, Tomas Lozano-Perez, Leslie Pack Kaelbling

In this work, we study generalized policy search-based methods with a focus on the score function used to guide the search over policies.

Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions

no code implementations29 Jan 2022 Haizhou Du, Ryan Yang, Yijian Chen, Qiao Xiang, Andre Wibisono, Wei Huang

In this paper, we analyze properties of the WPM and rigorously prove convergence properties of our aggregation mechanism.

Autonomous Driving

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