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We introduce a teleoperation system that integrates a 5 DOF actuated neck, designed to replicate natural human head movements and perception. By enabling behaviors like peeking or tilting, the system provides operators with a more intuitive and compr
Externí odkaz:
http://arxiv.org/abs/2411.00704
In this paper we propose a formal, model-agnostic meta-learning framework for safe reinforcement learning. Our framework is inspired by how parents safeguard their children across a progression of increasingly riskier tasks, imparting a sense of safe
Externí odkaz:
http://arxiv.org/abs/2410.24096
Motivated by the recent success of time-series foundation models for zero-shot forecasting, we present a methodology for $\textit{in-context fine-tuning}$ of a time-series foundation model. In particular, we design a pretrained foundation model that
Externí odkaz:
http://arxiv.org/abs/2410.24087
Autor:
Hu, Ya-Peng, Zhang, Hongsheng, An, Yu-Sen, Sun, Gao-Yong, You, Wen-Long, Shi, Da-Ning, Chen, Xiaosong, Cai, Rong-Gen
Scaling laws for critical phenomena take pivotal status in almost all branches of physics. However, as scaling laws are commonly guaranteed by the renormalization group theory, systems that violate them have rarely been found. In this letter, we demo
Externí odkaz:
http://arxiv.org/abs/2410.23783
Careful robot manipulation in every-day cluttered environments requires an accurate understanding of the 3D scene, in order to grasp and place objects stably and reliably and to avoid mistakenly colliding with other objects. In general, we must const
Externí odkaz:
http://arxiv.org/abs/2410.23643
In Adil et al. 2023, we reported an increasing trend in $S_8$ with effective redshift $z_{\textrm{eff}}$ based on $f \sigma_8(z)$ constraints over the redshift range $0 \lesssim z \lesssim 2$, and predicted that this trend would be observable in inde
Externí odkaz:
http://arxiv.org/abs/2410.23134
Recent observations by JWST yield a large abundance of luminous galaxies at $z\gtrsim 10$ compared to that expected in the CDM scenario based on extrapolations of the star formation efficiency measured at lower redshifts. While several astrophysical
Externí odkaz:
http://arxiv.org/abs/2410.22940
Massive reinforcement learning (RL) data are typically collected to train policies offline without the need for interactions, but the large data volume can cause training inefficiencies. To tackle this issue, we formulate offline behavior distillatio
Externí odkaz:
http://arxiv.org/abs/2410.22728
In practical application, the widespread deployment of diffusion models often necessitates substantial investment in training. As diffusion models find increasingly diverse applications, concerns about potential misuse highlight the imperative for ro
Externí odkaz:
http://arxiv.org/abs/2410.22445
Autor:
Maneesha, P., Samantaray, Koyal Suman, Saha, Rakhi, Urkude, Rajashri, Ghosh, Biplab, Pathak, Arjun K, Bhaumik, Indranil, Mekki, Abdelkrim, Harrabi, Khalil, Sen, Somaditya
Materials with magnetoelectric coupling (MEC) between ferroic orders at room temperature are extremely important in modern technology and physics. BaTiO$_3$ is a robust ferroelectric in which several doping have led to MEC. However, often MEC depends
Externí odkaz:
http://arxiv.org/abs/2410.22018