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Showing 346661 results for "avoidance learning"
Engineering Preprint PDF DOI

TEACar: An Open-Source Autonomous Driving Platform

Zhongzheng Zhang, Maxwell Ruyle, Andrew Kappes, Tyler Ruble, William Shaoul, Dana Moreno, Jack Penn, Ivan Ruchkin ยท 2026

Intelligent Transportation Systems (ITS) increasingly rely on vision-based perception and learning-based control, necessitating experimental platforms that support realistic hardware-in-the-loop validโ€ฆ

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AI & Data Science Preprint PDF DOI

S-SONDO: Self-Supervised Knowledge Distillation for General Audio Foundation Models

Mohammed Ali El Adlouni, Aurian Quelennec, Pierre Chouteau, Geoffroy Peeters, Slim Essid ยท 2026

General audio foundation models have recently achieved remarkable progress, enabling strong performance across diverse tasks. However, state-of-the-art models remain extremely large, often with hundreโ€ฆ

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Engineering Preprint PDF DOI

Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System

Yifei Wei, Linqing Zhong, Yi Liu, Yuxiang Lu, Xindong He, Maoqing Yao, Guanghui Ren ยท 2026

Vision-Language-Action (VLA) models are a promising paradigm for generalist robotic manipulation by grounding high-level semantic instructions into executable physical actions. However, prevailing appโ€ฆ

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AI & Data Science Preprint PDF DOI

Agentic AI for Remote Sensing: Technical Challenges and Research Directions

Muhammad Akhtar Munir, Muhammad Umer Sheikh, Akashah Shabbir, Muhammad Haris Khan, Fahad Khan, Xiao Xiang Zhu, Begum Demir, Salman Khan ยท 2026

Earth Observation (EO) is moving beyond static prediction toward multi-step analytical workflows that require coordinated reasoning over data, tools, and geospatial state. While foundation models and โ€ฆ

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Engineering Preprint PDF DOI

asRoBallet: Closing the Sim2Real Gap via Friction-Aware Reinforcement Learning for Underactuated Spherical Dynamics

Fang Wan, Guangyi Huang, Tianyu Wu, Zishang Zhang, Bangchao Huang, Haoran Sun, Mingdong Chen, Chaoyang Song ยท 2026

We introduce asRoBallet, to the best of our knowledge, the first successful deployment of reinforcement learning (RL) on a humanoid ballbot hardware. Historically, ballbots have served as a canonical โ€ฆ

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Physics Preprint PDF DOI

Data-Driven Hamiltonian Reduction for Superconducting Qubits via Meta-Learning

Arielle Sanford, Andrew T. Kamen, Frederic T. Chong, Andy J. Goldschmidt ยท 2026

We introduce HAML (Hamiltonian Adaptation via Meta-Learning), a framework for fast online adaptation of effective Hamiltonian models of superconducting quantum processors. HAML proceeds in two phases.โ€ฆ

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AI & Data Science Preprint PDF DOI

Learning with Embedded Linear Equality Constraints via Variational Bayesian Inference

Matthew Marsh, Benoit Chachuat, Antonio del Rio Chanona ยท 2026

Machine Learning is becoming more prevalent in science and engineering, but many approaches do not provide meaningful uncertainty estimates and predictions may also violate known physical knowledge. Wโ€ฆ

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Computer Science Preprint PDF DOI

Logic of Fuzzy Paths

Kush Grover, Pratham Gupta, Jan Kretinsky ยท 2026

We introduce a new family of temporal logics intended for specifications in motion planning (MP). It builds upon the signal temporal logic (STL), which is a linear-time logic over real-valued signals โ€ฆ

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Engineering Preprint PDF DOI

An analysis of sensor selection for fruit picking with suction-based grippers

Eva Krueger, Marcus Rosette, Joseph R. Davidson ยท 2026

Robotic fruit harvesting often fails to reliably detect whether a fruit has been successfully picked, limiting efficiency and increasing crop damage. This problem is difficult due to compliant fruit aโ€ฆ

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AI & Data Science Preprint PDF DOI

MultiHedge: Adaptive Coordination via Retrieval-Augmented Control

Feliks Banka, Jaros{l}aw A. Chudziak ยท 2026

Decision-making under changing conditions remains a fundamental challenge in many real-world systems. Existing approaches often fail to generalize across shifting regimes and exhibit unstable behaviorโ€ฆ

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AI & Data Science Preprint PDF DOI

Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate

John Seon Keun Yi, Aaron Mueller, Dokyun Lee ยท 2026

Multi-agent debate has been shown to improve reasoning in large language models (LLMs). However, it is compute-intensive, requiring generation of long transcripts before answering questions. To addresโ€ฆ

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AI & Data Science Preprint PDF DOI

Learning Illumination Control in Diffusion Models

Nishit Anand, Manan Suri, Christopher Metzler, Dinesh Manocha, Ramani Duraiswami ยท 2026

Controlling illumination in images is essential for photography and visual content creation. While closed-source models have demonstrated impressive illumination control, open-source alternatives eithโ€ฆ

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Physics Preprint PDF DOI

The effects of image augmentations when training machine learning models in astronomy

Leon H. Butterworth, Ashley Spindler ยท 2026

We measure the influence of image augmentations and training dataset size when training a deep neural network to classify galaxy morphology. Data augmentation is an integral step when training machineโ€ฆ

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Physics Preprint PDF DOI

Next-to-next-to-leading QCD corrections to the $\mathbf{B^+}$-$\mathbf{B_d^0}$, $\mathbf{D^+}$-$\mathbf{D^0}$, and $\mathbf{D_s^+}$-$\mathbf{D^0}$ lifetime ratios

Francesco Moretti, Ulrich Nierste, Pascal Reeck, Matthias Steinhauser ยท 2026

The total decay widths of heavy mesons can be systematically calculated in terms of an expansion in the two parameters $1/m_Q$ and $\alpha_s(m_Q)$, where $Q=c,b$ denotes the heavy quark. The dominant โ€ฆ

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AI & Data Science Preprint PDF DOI

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation

Zhiheng Liu, Weiming Ren, Xiaoke Huang, Shoufa Chen, Tianhong Li, Mengzhao Chen, Yatai Ji, Sen He, Jonas Schult, Belinda Zeng, Tao Xiang, Wenhu Chen, Ping Luo, Luke Zettlemoyer, Yuren Cong ยท 2026

Unified multimodal models typically rely on pretrained vision encoders and use separate visual representations for understanding and generation, creating misalignment between the two tasks and preventโ€ฆ

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AI & Data Science Preprint PDF DOI

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation

Weijie Wang, Xiaoxuan He, Youping Gu, Yifan Yang, Zeyu Zhang, Yefei He, Yanbo Ding, Xirui Hu, Donny Y. Chen, Zhiyuan He, Yuqing Yang, Bohan Zhuang ยท 2026

Recent video foundation models demonstrate impressive visual synthesis but frequently suffer from geometric inconsistencies. While existing methods attempt to inject 3D priors via architectural modifiโ€ฆ

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Computer Science Preprint PDF DOI

Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components

Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram ยท 2026

Adaptive programming practice often relies on fixed libraries of worked examples and practice problems, which require substantial authoring effort and may not correspond well to the logical errors andโ€ฆ

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AI & Data Science Preprint PDF DOI

The Optimal Sample Complexity of Multiclass and List Learning

Chirag Pabbaraju ยท 2026

While the optimal sample complexity of binary classification in terms of the VC dimension is well-established, determining the optimal sample complexity of multiclass classification has remained open.โ€ฆ

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AI & Data Science Preprint PDF DOI

Conflict-Aware Harmonized Rotational Gradient for Multiscale Kinetic Regimes

Zhangyong Liang ยท 2026

In this paper, we propose a harmonized rotational gradient method, termed HRGrad, for simultaneously tackling multiscale time-dependent kinetic problems with varying small parameters. These parameteโ€ฆ

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AI & Data Science Preprint PDF DOI

Learning to Think from Multiple Thinkers

Nirmit Joshi, Roey Magen, Nathan Srebro, Nikolaos Tsilivis, Gal Vardi ยท 2026

We study learning with Chain-of-Thought (CoT) supervision from multiple thinkers, all of whom provide correct but possibly systematically different solutions, e.g., step-by-step solutions to math probโ€ฆ

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