OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
-
Updated
Sep 20, 2024 - Python
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.
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
TensorFlow2 Reinforcement Learning
DI-engine docs (Chinese and English)
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)
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"
(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation
Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
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.
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)
Maximum Causal Entropy Inverse Reinforcement Learning
Adversarial Imitation Via Variational Inverse Reinforcement Learning
Inverse Reinforcement Learning Argorithms
Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation
Add a description, image, and links to the inverse-reinforcement-learning topic page so that developers can more easily learn about it.
To associate your repository with the inverse-reinforcement-learning topic, visit your repo's landing page and select "manage topics."