There are 11 repositories under model-based-rl topic.
MuZero
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
A curated list of awesome model based RL resources (continually updated)
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
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
Model-based Reinforcement Learning Framework
Re-implementations of SOTA RL algorithms.
Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
Sampling based Model Predictive Control package for Model-Based RL research
The Reinforcement-Learning-Related Papers of ICLR 2019
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
Reinforcement Learning Short Course
World Models with A3C on Carracing-v0 in gym
Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
Toolkit of Causal Model-based Reinforcement Learning.
Model-based Offline Policy Optimization re-implement all by pytorch
A PyTorch implementation of DeepMind's MuZero agent
Model-based reinforcement learning using CEM, MPC and PETS
ReLAx - Reinforcement Learning Applications Library
Model based RL for fault-rotor quadrotor