Visual Kinematics Representation via Self-Supervised Object Tracking for Deep Reinforcement Learning
Abstract: Feature representation is critical for deep reinforcement learning (RL) in terms of sample efficiency and asymptotic performance. Previously developed feature representation methods in deep ...
May. 2nd, 2024: Vision Mamba (Vim) is accepted by ICML2024. 🎉 Conference page can be found here. Feb. 10th, 2024: We update Vim-tiny/small weights and training scripts. By placing the class token at ...
Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...
Abstract: This study explores the ethical aspects of visual design in the decision-making process in engineering projects, particularly with regard to the issue of bias in the context of data ...
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