Cover Image

Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Kefan, Han, Xingyao
Format:	Preprint
Published:	2022
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
by: Han, Ruihua, et al.
Published: (2024)

Unveiling the Surprising Efficacy of Navigation Understanding in End-to-End Autonomous Driving
by: Hua, Zhihua, et al.
Published: (2026)

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning
by: Mineiro, Ana Luiza, et al.
Published: (2025)

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
by: Baikalov, Vladimir, et al.
Published: (2024)

EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications
by: Pillai, Nisha, et al.
Published: (2024)

Distributionally Robust Control with End-to-End Statistically Guaranteed Metric Learning
by: Wu, Jingyi, et al.
Published: (2025)

Attack End-to-End Autonomous Driving through Module-Wise Noise
by: Wang, Lu, et al.
Published: (2024)

What Matters for Scalable and Robust Learning in End-to-End Driving Planners?
by: Holtz, David, et al.
Published: (2026)

End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data
by: Park, Jin Bok, et al.
Published: (2023)

End-to-End Multi-Microphone Speaker Extraction Using Relative Transfer Functions
by: Eisenberg, Aviad, et al.
Published: (2025)

ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
by: Lai, Hanyu, et al.
Published: (2025)

ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation
by: Lu, Dekun, et al.
Published: (2025)

End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
by: Dinh, My H, et al.
Published: (2024)

End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
by: Luo, Lirui, et al.
Published: (2024)

Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection
by: Zuo, Zhixing, et al.
Published: (2026)

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
by: Lai, Ruihang, et al.
Published: (2023)

ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning
by: Chen, Wendi, et al.
Published: (2025)

ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
by: Jin, Tengjun, et al.
Published: (2025)

Bridging the Divide: End-to-End Sequence-Graph Learning
by: Chen, Yuen, et al.
Published: (2025)

FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention
by: Dai, Huangliang, et al.
Published: (2025)

A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data
by: Alessandro, Marco D, et al.
Published: (2024)

AlphaVAE: Unified End-to-End RGBA Image Reconstruction and Generation with Alpha-Aware Representation Learning
by: Wang, Zile, et al.
Published: (2025)

Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems
by: Yu, Ye, et al.
Published: (2026)

End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
by: Gümüs, Kadir, et al.
Published: (2019)

Reinforced Reasoning for End-to-End Retrosynthetic Planning
by: Zuo, Chenyang, et al.
Published: (2026)

End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler
by: Blessing, Denis, et al.
Published: (2025)

Learning to be Smooth: An End-to-End Differentiable Particle Smoother
by: Younis, Ali, et al.
Published: (2025)

Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning
by: Lu, Siyi, et al.
Published: (2024)

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
by: Tang, Qiaoyu, et al.
Published: (2024)

Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents
by: Fan, Zhiyuan, et al.
Published: (2026)

End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving
by: Jaladi, Satya R., et al.
Published: (2024)

End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning
by: Kishky, Mahmoud M., et al.
Published: (2024)

Meta-Harness: End-to-End Optimization of Model Harnesses
by: Lee, Yoonho, et al.
Published: (2026)

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
by: Lu, Han, et al.
Published: (2024)

Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
by: Braun, Dan, et al.
Published: (2024)

End-to-End Learning for Partially-Observed Time Series with PyPOTS
by: Du, Wenjie, et al.
Published: (2026)

An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems
by: Miao, Changhao, et al.
Published: (2025)

Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
by: Chu, Detian, et al.
Published: (2024)

DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
by: Ning, Yansong, et al.
Published: (2025)

Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation
by: Jin, Jing, et al.
Published: (2025)