model-based-rl
There are 75 repositories under model-based-rl topic.
Shunichi09/PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
opendilab/awesome-model-based-RL
A curated list of awesome model based RL resources (continually updated)
ctallec/world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
kchua/handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
koulanurag/muzero-pytorch
Pytorch Implementation of MuZero
nrontsis/PILCO
Bayesian Reinforcement Learning in Tensorflow
yingchengyang/Reinforcement-Learning-Papers
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
google-research/dads
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
quanvuong/handful-of-trials-pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
danfeiX/model-based-papers
My reading list for model-based control
erfanMhi/Deep-Reinforcement-Learning-CS285-Pytorch
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
x35f/unstable_baselines
Re-implementations of SOTA RL algorithms.
cap-ntu/baconian-project
Model-based Reinforcement Learning Framework
nnaisense/MAX
Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
penn-pal-lab/peg
Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
0xangelo/raylab
Reinforcement learning algorithms in RLlib
ossamaAhmed/blackbox_mpc
Sampling based Model Predictive Control package for Model-Based RL research
callmespring/RL-short-course
Reinforcement Learning Short Course
ewanlee/ICLR2019-RL-Papers
The Reinforcement-Learning-Related Papers of ICLR 2019
chandar-lab/Recall2Imagine
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
evgenii-nikishin/omd
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
ucd-dare/CarDreamer
World Model based Autonomous Driving Platform in CARLA :car:
XueyingBai/Model-Based-Reinforcement-Learning-for-Online-Recommendation
A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
hr0nix/omega
A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.
Deepest-Project/WorldModels-A3C
World Models with A3C on Carracing-v0 in gym
LinZichuan/AdMRL
Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
polixir/causal-mbrl
Toolkit of Causal Model-based Reinforcement Learning.
i-abr/TorchMPC
Pytorch implementation of Model Predictive Control with learned models
junming-yang/mopo
Model-based Offline Policy Optimization re-implement all by pytorch
sail-sg/rosmo
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
michaelnny/muzero
A PyTorch implementation of DeepMind's MuZero agent
akjayant/mbppol
This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm" accepted at NeurIPS 2022.
dhananjaisharma10/Model-based-Reinforcement-Learning
Model-based reinforcement learning using CEM, MPC and PETS
nslyubaykin/relax
ReLAx - Reinforcement Learning Applications Library