7 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 4 cited
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions
Yicheng Luo, Jackie Kay, Edward Grefenstette +1
Offline reinforcement learning (RL) allows for the training of competent agents from offline datasets without any interaction with the environment. Online finetuning of such offlin…
cs.LG2023★ 2 cited
Optimal Transport for Offline Imitation Learning
Yicheng Luo, Zhengyao Jiang, Samuel Cohen +2
With the advent of large datasets, offline reinforcement learning (RL) is a promising framework for learning good decision-making policies without the need to interact with the rea…
cs.CV2022★ 7 cited
Learning to Construct 3D Building Wireframes from 3D Line Clouds
Yicheng Luo, Jing Ren, Xuefei Zhe +4
Line clouds, though under-investigated in the previous work, potentially encode more compact structural information of buildings than point clouds extracted from multi-view images.…