inverse-reinforcement-learning

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

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

TensorFlow2 Reinforcement Learning

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

[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

A selection of state-of-the-art research materials on decision making and motion planning.

(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

Tensorflow implementation of generative adversarial imitation 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.

Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

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)