OpenDILab Decision AI Engine
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Updated
Jun 13, 2024 - Python
OpenDILab Decision AI Engine
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
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
DI-engine docs (Chinese and English)
A selection of state-of-the-art research materials on decision making and motion planning.
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
Tensorflow implementation of generative adversarial imitation 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
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
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