no code implementations • 18 Jul 2023 • Xiufeng Huang, Sheng Zhou
To improve the performance of multi-agent reinforcement learning under the constraint of wireless resources, we propose a message importance metric and design an importance-aware scheduling policy to effectively exchange messages.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 25 May 2020 • Xiufeng Huang, Sheng Zhou
To reduce the communication cost, lossy data compression can be exploited for inference tasks, but may bring more erroneous inference results.
no code implementations • 13 Sep 2018 • Shu Liang, Xiufeng Huang, Xianyu Meng, Kunyao Chen, Linda G. Shapiro, Ira Kemelmacher-Shlizerman
In this paper, we describe a system that can completely automatically create a reconstruction from any video (even a selfie video), and we don't require specific views, since taking your -90 degree, 90 degree, and full back views is not feasible in a selfie capture.