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)
#计算机科学#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"
#计算机科学#Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
#计算机科学#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
#算法刷题#A selection of state-of-the-art research materials on decision making and motion planning.
(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.
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"
#计算机科学#Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)