学习 分类论文(27,846)
清除筛选 ✕Dynamics Are Learned, Not Told: Semi-Supervised Discovery of Latent Dynamics Geometries For Zero-Shot Policy Adaptation
Zhiming Xu, Weitao Zhou, Xianghui Pan 等 7 位作者
2026
Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction
Ruiyuan Li, Ajay Seth, Manon Kok
2026
Integrated Sensing and Covert Communication In Low-Altitude Networks: A Smart Radio Environment Perspective
Jianyu Wei, Haichao Wang, Laixian Peng 等 7 位作者
2026
World-Task Factorization for Robot Learning
Eduardo Sebastián, Adrian Pfisterer, Vito Mengers 等 5 位作者
2026
AI-Based KPI Prediction Methods in Future 6G Networks: A Survey
Niloofar Mehrnia, Gourav Prateek Sharma, Samie Mostafavi 等 7 位作者
2026
Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation
Zhenyu Li, Tianyi Shang
2026
PHASOR: Phase-Anchored Universal Action Representations for Humanoid Embodiments
Kihyun Kim, Chaeyun Kim, Jongho Shin 等 7 位作者
2026
IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
Yuchen Zhang, Ning Xi, Pengbin Feng 等 8 位作者
2026
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation
Xiang Fang, Wanlong Fang, Changshuo Wang
2026
All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning
Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele 等 5 位作者
2026
Training-Free Imitation Learning with Closed-Form Diffusion Policies
Raghav Mishra, Ian R. Manchester
2026
A Machine-to-Machine Knowledge-Guided LLM Agent for Generalizable Radiotherapy Treatment Planning
Md Mainul Abrar, Xun Jia, Yujie Chi
2026
Too Much of a Good Thing: When sim2real Efforts Impede Policy Learning (And What to Do About It)
Kyle Morgenstein, Bharath Masetty, Stephen Welch 等 4 位作者
2026
Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning
Roland Andrews, Justin Carpentier, Ajay Sathya
2026
Shape Your Body: Value Gradients for Multi-Embodiment Robot Design
Nico Bohlinger, Jan Peters
2026
DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning
Limin Yan, Haoyun Tang, Yutao Qiu 等 5 位作者
2026
DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties
Oussama Zaim, Mélodie Daniel, Aly Magassouba 等 5 位作者
2026
Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots
Khurram Javed, Joseph Modayil, Gloria Kennickell 等 5 位作者
2026
Enhancing Human-Likeness in Reinforcement Learning Agents via Hierarchical Macro Action Quantization
Usman Nizamani, M. Shaheer Luqman, Fawad Javed Fateh 等 7 位作者
2026
FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance
Sungha Kim, Gawon Lee, Jusuk Lee 等 6 位作者
2026
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks?
Stephane Hatgis-Kessell, Emma Brunskill
2026
ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement Learning
Faiq Shamass
2026
World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications
Arif Hassan Zidan, Yi Pan, Hanqi Jiang 等 20 位作者
2026
超越GPU主导范式的机器人强化学习异构架构
Yufei Jia, Zhanxiang Cao, Mingrui Yu 等 20 位作者
2026