9 citations · 12 across the 4 of their papers we have counts for
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cs.LG2023
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning
Gen Li, Yuling Yan, Yuxin Chen +1
This paper studies reward-agnostic exploration in reinforcement learning (RL) -- a scenario where the learner is unware of the reward functions during the exploration stage -- and…
cs.LG2021★ 1 cited
Curriculum Learning for Vision-and-Language Navigation
Jiwen Zhang, Zhongyu Wei, Jianqing Fan +1
Vision-and-Language Navigation (VLN) is a task where an agent navigates in an embodied indoor environment under human instructions. Previous works ignore the distribution of sample…