Top 52 imitation-learning open source projects

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

An elegant PyTorch deep reinforcement learning library.

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

Clean PyTorch implementations of imitation learning algorithms

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

游戏捏脸，基于神经风格迁移框架生成逼真人脸

Tensorflow implementation of generative adversarial imitation learning

Pantheon of Congestion Control

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

An OpenAI gym wrapper for CARLA simulator

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Driving in CARLA using waypoint prediction and two-stage imitation learning

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

Learning human driver models from NGSIM data with imitation learning.

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Imitation learning algorithms

Adversarial Imitation Via Variational Inverse Reinforcement Learning

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Open-source simulator for autonomous driving research.

BabyAI platform. A testbed for training agents to understand and execute language commands.

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..

Self-driving car simulator for the Duckietown universe

TensorFlow2 Reinforcement Learning

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

A curated list of awesome imitation learning resources and publications

Deep Reinforcement Learning algorithms implemented in PyTorch

OpenDILab Auto-driving platform

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

gail, infogail, hierarchical gail implementations

Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)

This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019).

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

[ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"

Kernelized Movement Primitives (KMP)

Implementation of CoDAIL in the ICLR 2021 paper <Multi-Agent Interactions Modeling with Correlated Policies>

This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)

The implementation of "Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning" (ACM MM 2019)

Disagreement-Regularized Imitation Learning

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155

Solving Haxball (www.haxball.com) using Imitation Learning methods.

End-to-end Self-driving Car (Behavioral Cloning)

Ranking Policy Gradient

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.