53 citations · 118 across the 36 of their papers we have counts for
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cs.LG2022
OpenD: A Benchmark for Language-Driven Door and Drawer Opening
Yizhou Zhao, Qiaozi Gao, Liang Qiu +2
We introduce OPEND, a benchmark for learning how to use a hand to open cabinet doors or drawers in a photo-realistic and physics-reliable simulation environment driven by language…
cs.LG2022★ 2 cited
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning
Tongzhou Mu, Kaixiang Lin, Feiyang Niu +1
We present a two-step hybrid reinforcement learning (RL) policy that is designed to generate interpretable and robust hierarchical policies on the RL problem with graph-based input…