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model-based-reinforcement-learning

Here are 75 public repositories matching this topic...

maohangyu / dreamer-torch

Pytorch version of Dreamer, which follows the original TF v2 codes.

model-based-reinforcement-learning

Updated Feb 7, 2022
Python

Animesh-Chourey / Frozen-Lake

Various reinforcement learning algorithms implemented on the frozen lake grid world.

reinforcement-learning q-learning sarsa policy-evaluation policy-iteration value-iteration model-based-reinforcement-learning policy-improvement frozen-lake

Updated Aug 29, 2022
Python

RU-Automated-Reasoning-Group / MUN

NeurIPS'24 Learning World Models for Unconstrained Goal Navigation

reinforcement-learning robotics model-based-reinforcement-learning world-models sparse-reward-algorithms goal-conditioned-rl

Updated Oct 29, 2024
Python

RU-Automated-Reasoning-Group / CE2

NeurIPS'24 Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning

reinforcement-learning robotics model-based-reinforcement-learning world-models unsupervised-reinforcement-learning go-explore sparse-reward-algorithms goal-conditioned-rl

Updated Oct 29, 2024
Python

being-aerys / Reinforcement-Learning-Self-Projects

Fun with Reinforcement Learning in my spare time

reinforcement-learning genetic-algorithm deep-reinforcement-learning cartpole wrapper-api ddpg continuous-control deep-deterministic-policy-gradient actor-critic-methods model-based-reinforcement-learning classic-controller td3 cross-entropy-policy-search

Updated Jan 20, 2020
Jupyter Notebook

Smantii / symbolic_mbrl

Symbolic Model-Based Reinforcement Learning

machine-learning reinforcement-learning symbolic-regression model-based-reinforcement-learning

Updated Oct 16, 2024
Python

nslyubaykin / relax_dyna_q_example

Example DYNA-Q implementation with ReLAx

reinforcement-learning reinforcement-learning-algorithms continuous-control dyna-q model-based-reinforcement-learning td3 model-based-acceleration

Updated Aug 29, 2022
Jupyter Notebook

nslyubaykin / relax_cem_example

Example CEM implementation with ReLAx

reinforcement-learning reinforcement-learning-algorithms continuous-control model-predictive-control model-based-reinforcement-learning cross-entropy-method

Updated Aug 29, 2022
Jupyter Notebook

nslyubaykin / relax_random_shooting_example

Example Random Shooting implementation with ReLAx

reinforcement-learning reinforcement-learning-algorithms continuous-control model-predictive-control model-based-reinforcement-learning random-shooting

Updated Aug 29, 2022
Jupyter Notebook

nslyubaykin / relax_frwr_example

Example FRWR (PDDM) implementation with ReLAx

reinforcement-learning reinforcement-learning-algorithms continuous-control model-predictive-control model-based-rl model-based-reinforcement-learning

Updated Aug 29, 2022
Jupyter Notebook

khanhvu207 / deer-pytorch

PyTorch implementation of Combined Reinforcement Learning via Abstract Representations

reinforcement-learning deep-learning pytorch representation-learning model-based-reinforcement-learning

Updated Jan 3, 2024
Python

ashutoshtiwari13 / A-RL-Paper-A-Day-Keeps-boredom-away

An "over-optimistic" effort to read and summarize a Deep Reinforcement Learning based paper a day 🤩 👊

reinforcement-learning deep-reinforcement-learning reinforcement-learning-algorithms research-paper-explanation model-based-reinforcement-learning research-paper-summaries reinforcement-learning-resources research-paper-reading-list

Updated Sep 20, 2020
Jupyter Notebook

MFHChehade / Risk-Aware-Transfer-RL

This project focuses on implementing a novel approach to Risk-Aware Transfer in Reinforcement Learning (RL). This project introduces a unique perspective by incorporating risk at the test level rather than during training.

machine-learning reinforcement-learning transfer-learning model-based-reinforcement-learning risk-aware

Updated Mar 31, 2024
Python

aidanscannell / phd-thesis

Bayesian Learning for Control in Multimodal Dynamical Systems | written in Org-mode

machine-learning robotics optimal-control gaussian-processes probabilistic-models model-based-reinforcement-learning gaussian-process mixture-of-experts

Updated Nov 4, 2023
TeX

GaspTO / Modular_MBRL

This is a Model-Based Reinforcement Learning implementation based on a modular software architecture suitable for extension and easy to understand and use.

reinforcement-learning deep-learning deep-reinforcement-learning software-architecture model-based-reinforcement-learning

Updated Mar 15, 2022
Python

giarcieri / Assessing-the-Influence-of-Models-on-the-Performance-of-Reinforcement-Learning-Algorithms

Master Thesis project

machine-learning reinforcement-learning deep-learning gaussian-processes bayesian-neural-networks model-based-reinforcement-learning

Updated Jun 1, 2022
Python

janwithb / thesis

This is the official PyTorch implementation of my Master thesis. The main goal of this work was to optimize latent dynamics models with unsupervised representation learning.

reinforcement-learning thesis autoencoder representation-learning model-based-rl model-based-reinforcement-learning contrastive-learning

Updated Aug 18, 2021
Python

nslyubaykin / mbrl_multitasking

Model-Based RL Multi-Tasking with ReLAx

reinforcement-learning reinforcement-learning-algorithms cem continuous-control model-based-reinforcement-learning cross-entropy-method multi-task-reinforcement-learning multi-task-rl

Updated Aug 29, 2022
Jupyter Notebook

ishank-juneja / Online-Model-Selection

Select the most appropriate model out of a library of models by assessing the performance of the models online

model-predictive-control model-based-reinforcement-learning

Updated Dec 15, 2022
Python

nslyubaykin / relax_mbpo_example

Example MBPO implementation with ReLAx

reinforcement-learning reinforcement-learning-algorithms sac continuous-control model-based-rl model-based-reinforcement-learning soft-actor-critic mbpo model-based-acceleration

Updated Aug 29, 2022
Jupyter Notebook

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