OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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Updated
Dec 23, 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)
[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)
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.
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
Inverse Reinforcement Learning Argorithms
Deep Reinforcement Learning algorithms implemented in PyTorch
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