model-based-reinforcement-learning
There are 69 repositories under model-based-reinforcement-learning topic.
opendilab/DI-engine
OpenDILab Decision AI Engine
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
facebookresearch/mbrl-lib
Library for Model Based RL
opendilab/awesome-model-based-RL
A curated list of awesome model based RL resources (continually updated)
YaoYao1995/MEEE
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
opendilab/DI-engine-docs
DI-engine docs (Chinese and English)
yingchengyang/Reinforcement-Learning-Papers
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
quanvuong/handful-of-trials-pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
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
cap-ntu/baconian-project
Model-based Reinforcement Learning Framework
JuliaMusic/PianoFingering.jl
(Experimental, a lot of bugs) Advanced automatic fingering generator for piano scores, determining optimal fingering using Model-Based Reinforcement Learning, written in the Julia language.
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
CPS-TUWien/racing_dreamer
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
LunjunZhang/world-model-as-a-graph
Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
09tangriro/Pearl
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
Bellman-devs/bellman
Model-based reinforcement learning in TensorFlow
Hwhitetooth/jax_muzero
An implementation of MuZero in JAX.
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"
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.
thuml/iVideoGPT
Official repo for "iVideoGPT: Interactive VideoGPTs are Scalable World Models", https://arxiv.org/abs/2405.15223
AIRI-Institute/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.
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。
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
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.
arnavkj1995/VSG
Learning Robust Dynamics Through Variational Sparse Gating
stephenadhi/nn-mpc
Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm
wanxinjin/Task-Driven-Hybrid-Reduction
We developed a task-driven hybrid model reduction method for solving dexterous manipulation with 5 minutes of online learning.
zzyunzhi/asynch-mb
Code for Asynchronous Methods for Model-Based Reinforcement Learning
yardenas/jax-dreamer
Dreamer on JAX