There are 25 repositories under inverse-reinforcement-learning topic.
OpenDILab Decision AI Engine
Clean PyTorch implementations of imitation and reward learning algorithms
Implementations of selected inverse reinforcement learning algorithms.
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
DI-engine docs (Chinese and English)
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
A selection of state-of-the-art research materials on decision making and motion planning.
Tensorflow implementation of generative adversarial imitation learning
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
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.
Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"
Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)
Adversarial Imitation Via Variational Inverse Reinforcement Learning
Tutorial4RL: Tutorial for Reinforcement Learning. 强化ĺ¦äą 入门教程.
Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation
Deep Reinforcement Learning algorithms implemented in PyTorch
The Reinforcement-Learning-Related Papers of ICLR 2019
A curated list of awesome multi-agent learning papers
Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.
Maximum Causal Entropy Inverse Reinforcement Learning
Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.
A curated list of awesome Inverse Reinforcement Learning resources.
This is implementation of the paper 'Toward Diverse Text Generation with Inverse Reinforcement Learning' https://arxiv.org/abs/1804.11258 IJCAI2018
[CoRL'20] Learning a Decision Module by Imitating Driver’s Control Behaviors
A repository for code of reinforcement learning algorithms with PyTorch
[RA-L & ICRA 2021] Adversarial Inverse Reinforcement Learning with Self-attention Dynamics Model