ReflectDrive-2 论文阅读笔记

野攀先锋做顶

攀岩绳收绳方法

X-Cache

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

MOSAIC: 基于规模感知的自动驾驶数据挑选魔法阵

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

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

Fast-WAM - 世界动作模型在推理时真的需要"脑补"未来吗？

LeWorldModel - 稳定的端到端联合嵌入预测架构世界模型

WorldDrive

World4Drive - 无需感知标注的端到端自动驾驶世界模型

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

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

MotionLM: Multi-Agent Motion Forecasting as Language Modeling

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

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

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

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

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

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

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

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

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