lryz0612

EthicalTrajectoryPlanning

An Ethical Trajectory Planning Algorithm for Autonomous Vehicles

LearningEMS

A Learning-based Energy Management Framework and Benchmark for Electric Vehicles

Optimization_Algorithm

非线性优化主要算法的Matlab程序，有精确线搜索的0.618法和抛物线法, 非精确线搜索的Armijo准则, 最速下降法, 牛顿法, 共轭梯度法, BFGS 算法, DFP 算法, Broyden 族方法, 信赖域方法, 求解非线性最小二乘问题的L-M算法, 解约束优化问题的乘子法, 求解二次规划的有效集法, SQP 子问题的光滑牛顿法以及求解约束优化问题的SQP方法等. 程序基本通用.

Wale-Net

Neuronales Netz zur Trajektorienprädiktion von Fahrzeugen mit OnlineLearning

Soft-Actor-Critic-and-Extensions

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

RacingLMPC

Implementation of the Learning Model Predictive Controller for autonomous racing

CausalPINNs

lane-change-prediction-lstm

LSTM lane-changing detection utilizing highD dataset

lane-change-prediction

This is a project to predict the lane change intention and trajectory incorporating traffic context information

MARL_CAVs

MARL for Autonomous Vehicles

highD-dataset

Awesome-Multimodal-LLM-Autonomous-Driving

[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving

AutonomousDrivingTrajectoryPlanning

LBADTP: Libraries and Benchmarks for Autonomous Driving Trajectory Planning

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

neural_clbf

Toolkit for learning controllers based on robust control Lyapunov barrier functions

CBF-CLF-Helper

Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.

Prioritized-Human-in-the-loop-End-to-end-Autonomous-Driving

(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving

Human-in-the-loop-Deep-Reinforcement-Learning

(Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

CQL

Code for conservative Q-learning

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

HighwayEnv

A minimalist environment for decision-making in autonomous driving

MPCC

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

IGNNK

Hierarchical-Actor-Critc-HAC-

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.

Python

All Algorithms implemented in Python

poet

Paired Open-Ended Trailblazer (POET) and Enhanced POET

DGN

DGN Code

DDPG-Keras-Torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS