There are 30 repositories under imitation-learning topic.
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/
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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)
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Dobb·E: An open-source, general framework for learning household robotic manipulation
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
A curated list of awesome imitation learning resources and publications
A unified framework for robot learning
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Imitation learning algorithms
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
A curated list of awesome End-to-End Autonomous Driving resources (continually updated)
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.
Official implementation of Implicit Behavioral Cloning, as described in our CoRL 2021 paper, see more at https://implicitbc.github.io/
(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
Code for "One-Shot Visual Imitation Learning via Meta-Learning"