model-based-reinforcement-learning
There are 95 repositories under model-based-reinforcement-learning topic.
opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
opendilab/awesome-model-based-RL
A curated list of awesome model based RL resources (continually updated)
facebookresearch/mbrl-lib
Library for Model Based RL
chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
YaoYao1995/MEEE
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
opendilab/DI-engine-docs
DI-engine docs (Chinese and English)
quanvuong/handful-of-trials-pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
thuml/iVideoGPT
Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
lucidrains/improving-transformers-world-model-for-rl
Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch
JuliaMusic/PianoFingering.jl
(Experimental, a lot of bugs) Automatic fingering generator for piano scores, determining optimal fingering using Model-Based Reinforcement Learning, written in the Julia language.
cap-ntu/baconian-project
Model-based Reinforcement Learning Framework
ZhengyaoJiang/latentplan
Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
hejia-zhang/awesome-model-based-reinforcement-learning
A curated list of awesome Model-based reinforcement learning resources
zfountas/deep-active-inference-mc
Deep active inference agents using Monte-Carlo methods
lucidrains/dreamer4
Implementation of Danijar's latest iteration for his Dreamer line of work
CPS-TUWien/racing_dreamer
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
chandar-lab/Recall2Imagine
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
LunjunZhang/world-model-as-a-graph
Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
Hwhitetooth/jax_muzero
An implementation of MuZero in JAX.
0xprofessooor/Pearl
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
Bellman-devs/bellman
Model-based reinforcement learning in TensorFlow
thuml/HarmonyDream
Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344
ZhongZ-Wang/Model-Based-RL
这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。
evgenii-nikishin/omd
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
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.
Cognitive-AI-Systems/him-agent
The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
yardenas/la-mbda
LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
i-abr/TorchMPC
Pytorch implementation of Model Predictive Control with learned models
penn-pal-lab/scaffolder
Official codebase for "Privileged Sensing Scaffolds Reinforcement Learning", contains the Scaffolder algorithm and Sensory Scaffolding Suite.
sail-sg/rosmo
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
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.
abenechehab/dicl
[ICLR 2025] Official implementation of DICL (Disentangled In-Context Learning), featured in the paper "Zero-shot Model-based Reinforcement Learning using Large Language Models".
aidanscannell/dcmpc
Official PyTorch implementation of "DC-MPC: Discrete Codebook Model Predictive Control"
stephenadhi/nn-mpc
Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm