5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Context Shift Reduction for Offline Meta-Reinforcement Learning
Yunkai Gao, Rui Zhang, Jiaming Guo +10
Offline meta-reinforcement learning (OMRL) utilizes pre-collected offline datasets to enhance the agent's generalization ability on unseen tasks. However, the context shift problem…
cs.LG2023★ 5 cited
Quantized Distributed Training of Large Models with Convergence Guarantees
Ilia Markov, Adrian Vladu, Qi Guo +1
Communication-reduction techniques are a popular way to improve scalability in data-parallel training of deep neural networks (DNNs). The recent emergence of large language models…
cs.SI2022
Remote Work Optimization with Robust Multi-channel Graph Neural Networks
Qinyi Zhu, Liang Wu, Qi Guo +1
The spread of COVID-19 leads to the global shutdown of many corporate offices, and encourages companies to open more opportunities that allow employees to work from a remote locati…