Popular GitHub Repositories for Inverse Reinforcement Learning

Clean PyTorch implementations of imitation and reward learning algorithms

Implementations of selected inverse reinforcement learning algorithms.

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

TensorFlow2 Reinforcement Learning

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

(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)

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

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

A curated list of awesome multi-agent learning papers

Deep Reinforcement Learning algorithms implemented in PyTorch

Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.

Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020

code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning

Adversarial Inverse Reinforcement Learning Implement For Mountain Car