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

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

DI-engine docs (Chinese and English)

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

Tensorflow implementation of generative adversarial imitation learning

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.

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

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

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation

official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and Alternatives

Inverse Reinforcement Learning Argorithms