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model-based-reinforcement-learning

Here are 76 public repositories matching this topic...

opendilab / DI-engine

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Updated Dec 23, 2024
Python

pytorch / rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

machine-learning control reinforcement-learning ai robotics decision-making distributed-computing torch pytorch rl model-based-reinforcement-learning multi-agent-reinforcement-learning marl

Updated Dec 20, 2024
Python

facebookresearch / mbrl-lib

Library for Model Based RL

reinforcement-learning model-based-reinforcement-learning

Updated Jul 12, 2024
Python

opendilab / awesome-model-based-RL

A curated list of awesome model based RL resources (continually updated)

awesome reinforcement-learning reinforcement-learning-algorithms awesome-list model-based-rl model-based-reinforcement-learning

Updated Nov 12, 2024

YaoYao1995 / MEEE

Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).

reinforcement-learning model-based-reinforcement-learning exploration-exploitation

Updated Aug 22, 2023
Python

chauvinSimon / My_Bibliography_for_Research_on_Autonomous_Driving

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Updated Dec 15, 2020

opendilab / DI-engine-docs

DI-engine docs (Chinese and English)

reinforcement-learning deep-learning reinforcement-learning-algorithms imitation-learning inverse-reinforcement-learning pytorch-rl model-based-reinforcement-learning multi-agent-reinforcement-learning offline-rl

Updated Dec 18, 2024
Python

quanvuong / handful-of-trials-pytorch

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

reinforcement-learning ensemble-learning probabilistic-models model-based-rl model-based-reinforcement-learning

Updated Dec 8, 2022
Python

Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

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

reinforcement-learning paper pytorch uncertainty gaussian-processes model-predictive-control model-based-reinforcement-learning pytorch-implementation gpytorch control-animation

Updated May 15, 2023
Python

cap-ntu / baconian-project

Model-based Reinforcement Learning Framework

reinforcement-learning reinforcement-learning-algorithms model-based model-based-rl model-based-reinforcement-learning

Updated May 22, 2020
Python

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.

reinforcement-learning julia julia-language q-learning mdp piano julia-package dyna piano-fingers piano-fingering piano-keyboard music21 model-based-reinforcement-learning

Updated Sep 26, 2023
Julia

ZhengyaoJiang / latentplan

Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.

reinforcement-learning transformer generative-model model-based-reinforcement-learning offline-reinforcement-learning

Updated May 12, 2023
Python

hejia-zhang / awesome-model-based-reinforcement-learning

A curated list of awesome Model-based reinforcement learning resources

reinforcement-learning awesome-list model-based-reinforcement-learning

Updated Sep 6, 2020

thuml / iVideoGPT

Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223

gpt video-generation robotic-manipulation model-based-reinforcement-learning video-prediction visual-planning world-model open-x-embodiment

Updated Dec 20, 2024
Python

zfountas / deep-active-inference-mc

Deep active inference agents using Monte-Carlo methods

cognitive-science variational-inference monte-carlo-tree-search monte-carlo-methods machine-learning-models variational-autoencoders dsprites disentangled-representations model-based-reinforcement-learning active-inference animal-ai cognitive-architectures

Updated Oct 19, 2021
Python

CPS-TUWien / racing_dreamer

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

reinforcement-learning deep-learning deep-reinforcement-learning autonomous-driving model-based-reinforcement-learning

Updated May 10, 2023
Python

LunjunZhang / world-model-as-a-graph

Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)

reinforcement-learning deep-reinforcement-learning planning-algorithms model-based-reinforcement-learning

Updated Jul 17, 2021
Python

chandar-lab / Recall2Imagine

Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024

reinforcement-learning deep-reinforcement-learning s6 ssm mamba s5 s4 deep-rl model-based-rl state-space-models model-based-reinforcement-learning dreamer world-models parallel-scan iclr2024 parallel-scanning

Updated Jun 4, 2024
Python

Bellman-devs / bellman

Model-based reinforcement learning in TensorFlow

machine-learning reinforcement-learning deep-learning tensorflow deep-reinforcement-learning mujoco model-based-reinforcement-learning mbrl

Updated Jul 27, 2021
Python

0xprofessooor / Pearl

Adaptable tools to make reinforcement learning and evolutionary computation algorithms.

python research reinforcement-learning pytorch evolutionary-algorithms evolutionary-computation pearl model-based-reinforcement-learning

Updated May 9, 2022
Python

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