Open-source simulator for autonomous driving research.
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Updated
Jun 5, 2024 - C++
Open-source simulator for autonomous driving research.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
An elegant PyTorch deep reinforcement learning library.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
OpenDILab Decision AI Engine
Clean PyTorch implementations of imitation and reward learning algorithms
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
游戏捏脸,基于神经风格迁移框架生成逼真人脸
BabyAI platform. A testbed for training agents to understand and execute language commands.
Pantheon of Congestion Control
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
An OpenAI gym wrapper for CARLA simulator
TensorFlow2 Reinforcement Learning
(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Learning human driver models from NGSIM data with imitation learning.
A unified framework for robot learning
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