There are 30 repositories under inverse-reinforcement-learning topic.
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
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
(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation
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.
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)
Tutorial4RL: Tutorial for Reinforcement Learning. 强化ĺ¦äą 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)
Adversarial Imitation Via Variational Inverse Reinforcement Learning
official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and Alternatives
Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation
A curated list of awesome multi-agent learning papers
Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.
Deep Reinforcement Learning algorithms implemented in PyTorch
Maximum Causal Entropy Inverse Reinforcement Learning
The Reinforcement-Learning-Related Papers of ICLR 2019
SAILOR is an inverse RL algorithm that learns world and reward models to search at test-time and recover from mistakes.
Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.
code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning
A curated list of awesome Inverse Reinforcement Learning resources.
[RSS 2025] CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance