Stars
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
RSS 2023: This repository contains code for the paper Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码，收集的相关experts
pykoi: Active learning in one unified interface
Author's PyTorch implementation of BCQ for continuous and discrete actions
This project aims to provide a data and control bridge for the communication between the latest version of Apollo and Carla.
Computational framework for reinforcement learning in traffic control
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Open-source simulator for autonomous driving research.
An index of algorithms for offline reinforcement learning (offline-rl)
Source code for Twitter's Recommendation Algorithm
Package wrote python to solve dynamic Stackelberg game with constraints. Based on ECC 2019 accepted paper titled "Linear quadratic Stackelberg difference games with constraints".
Note for Apollo 3.0 perception, prediction and planning modules
C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning
Implementation of the paper "Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching".
Decision Intelligence Platform for Autonomous Driving simulation.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
List of competitions related to Reinforcement Learning