AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning

X-Mind 论文笔记与批判性评估

Metis：不对称注意力解锁联合训练与解耦推理

DreamerV3 - 固定超参数打穿150+任务的通用世界模型

DFP - 扩散强迫规划与历史退火

DriveReward 论文阅读笔记

CLEAR: 认知与潜在评估驱动的自适应路由——端到端自动驾驶的分工哲学

X-Foresight 论文阅读笔记

野攀岩场记录

EponaV2: Driving World Model with Comprehensive Future Reasoning

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation

攀岩户外技能

ReflectDrive-2 论文阅读笔记

X-Cache

OneVL - 双模态隐式推理框架

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework

Fast-WAM - 世界动作模型在推理时真的需要"脑补"未来吗？

SNG-VLA: Navigation Understanding in End-to-End Autonomous Driving

MOSAIC: 基于规模感知的自动驾驶数据挑选魔法阵

LeWorldModel - 稳定的端到端联合嵌入预测架构世界模型

DriveVA - 视频动作模型即零样本驾驶员

SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving

WorldDrive

FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World Model

DiffusionDriveV2: Truncated Diffusion Model for End-to-End Autonomous Driving

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving

World4Drive - 无需感知标注的端到端自动驾驶世界模型

Epona: Autoregressive Diffusion World Model for End-to-End Autonomous Driving

Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling

WayFormer

Rapidly-exploring Random Tree

Probabilistic Road Map

Pluto

OSQP

Optimization

Jump Point Search

GoalFlow

GenAD

GameFormer

Dijkstra and A*

DiffusionDrive

Cross-entropy Motion Planning

Common Knowledges on Path Planning

CarPlanner

Bezier Curve Optimization

Vscode Vim Configuration

Volatile

Union

Unconstrained Optimization

Type

Trust Region based DRL

Transformer

Tmux Configuration

Time Counting

ThreadPool

Thread

Temporal Difference Lambda

Temporal Difference

Template Function

Template Class

Steepest Gradient Descent

Smoothing Techniques

Singleton

SharedPtr

Requires & Concepts

PyQt Notes

Policy Gradient

PHR Augmented Lagrangian Method

Penalty Methods

Others

Other knowledges of template

Operator

Newton Methods

Newton Conjugate Gradient Method

Nested Class

Namespace

Mutex

Monte-Carlo Sampling

Model based RL

Member Ptr of Class

Markov Decision Processes

Low-Dimensional Linear Program

Low-Dimensional Linear Program

Local Class

Lagrangian Relaxation

Karush-Kuhn-Tucker(KKT) Conditions

IOStream

Inheritance of Class

Generic Algorithm

Fundamentals of meta-programming

Function

Expression

Exception

Enum

Eigen

Dynamic Planning

Dynamic Memory

DL Evaluation

DL Common Knowledges

DL Attention

Deep Q Learning

Container

Construction of Class

Constrained Optimization

Constexpr of Class

Conic Programming

Conic Augmented Lagrangian

Compile & Link

Common Knowledges on Reinforcement Learning

Class Basis

Class Access & Friend

Bugs

Bit Field

Bind & Lambda

Basic of Optimization

Barrier Methods

Async & Future

Array Vector String

HiP-AD: Hierarchical and Multi-granularity Planning with Deformable Attention

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving

MomAD: Momentum-Aware Planning in End-to-End Autonomous Driving

EMMA: End-to-End Multimodal Model for Autonomous Driving

End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation

LAW - Enhancing End-to-End Autonomous Driving with Latent World Model

MotionLM: Multi-Agent Motion Forecasting as Language Modeling