Open-source simulator for autonomous driving research.
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Updated
Jun 13, 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.
OpenDILab Decision AI Engine
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
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
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
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..
BabyAI platform. A testbed for training agents to understand and execute language commands.
A curated list of Decision Transformer resources (continually updated)
Decision Intelligence Platform for Autonomous Driving simulation.
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Dobb·E: An open-source, general framework for learning household robotic manipulation
An OpenAI gym wrapper for CARLA simulator
A curated list of awesome imitation learning resources and publications
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
游戏捏脸,基于神经风格迁移框架生成逼真人脸
TensorFlow2 Reinforcement Learning
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