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Learning to paint using Model-based Deep Reinforcement Learning
A curated list of awesome model based RL resources (continually updated)
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Pytorch Implementation of MuZero
Bayesian Reinforcement Learning in Tensorflow
Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"
World Model based Autonomous Driving Platform in CARLA :car:
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.