103 citations · 120 across the 7 of their papers we have counts for
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cs.LG2022
Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze, Nicklas Hansen, Yinbo Chen +2
A prominent approach to visual Reinforcement Learning (RL) is to learn an internal state representation using self-supervised methods, which has the potential benefit of improved s…
cs.LG2022★ 3 cited
Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen, Xiaolong Wang
Implicit Neural Representations (INRs) have emerged and shown their benefits over discrete representations in recent years. However, fitting an INR to the given observations usuall…
cs.LG2022★ 3 cited
Graph Inverse Reinforcement Learning from Diverse Videos
Sateesh Kumar, Jonathan Zamora, Nicklas Hansen +2
Research on Inverse Reinforcement Learning (IRL) from third-person videos has shown encouraging results on removing the need for manual reward design for robotic tasks. However, mo…