Search Results for author: Buddhika L. Semage

Found 1 papers, 0 papers with code

Sample-Efficient Co-Design of Robotic Agents Using Multi-fidelity Training on Universal Policy Network

no code implementations8 Sep 2023 Kishan R. Nagiredla, Buddhika L. Semage, Thommen G. Karimpanal, Arun Kumar A. V, Santu Rana

To improve the sample-efficiency we propose a multi-fidelity-based design exploration strategy based on Hyperband where we tie the controllers learnt across the design spaces through a universal policy learner for warm-starting the subsequent controller learning problems.

Cannot find the paper you are looking for? You can Submit a new open access paper.