2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AI2022★ 1 cited
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
Weirui Ye, Pieter Abbeel, Yang Gao
One of the most important AI research questions is to trade off computation versus performance since ``perfect rationality" exists in theory but is impossible to achieve in practic…
cs.LG2022★ 2 cited
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin, Weirui Ye, Qifeng Chen +1
Imitation learning is a class of promising policy learning algorithms that is free from many practical issues with reinforcement learning, such as the reward design issue and the e…