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 ...
ABSTRACT: The Riemann Zeta function ζ( s ) has many different representations. In this paper, we derive several new integral representations of the Zeta function using the inverse Mellin transform and ...
Abstract: This paper adapts a general dataset representation technique to produce robust Visual Place Recognition (VPR) descriptors, crucial to enable real-world mobile robot localisation. Two ...
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