Pytorch version of Dreamer, which follows the original TF v2 codes.
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Updated
Feb 7, 2022 - Python
Pytorch version of Dreamer, which follows the original TF v2 codes.
Various reinforcement learning algorithms implemented on the frozen lake grid world.
Code for Tackling Long-Horizon Tasks with Model-based Offline Reinforcement Learning
Fun with Reinforcement Learning in my spare time
Example DYNA-Q implementation with ReLAx
Example CEM implementation with ReLAx
Example Random Shooting implementation with ReLAx
Example FRWR (PDDM) implementation with ReLAx
PyTorch implementation of Combined Reinforcement Learning via Abstract Representations
Bayesian Learning for Control in Multimodal Dynamical Systems | written in Org-mode
An "over-optimistic" effort to read and summarize a Deep Reinforcement Learning based paper a day 🤩 👊
Simple world models lead to good abstractions, Google Cerebra internship 2020/master thesis at EPFL LCN 2021 ⬛◼️▪️🔦
Master Thesis project
VQ-VAE-based image tokenizer for model-based RL
This is a Model-Based Reinforcement Learning implementation based on a modular software architecture suitable for extension and easy to understand and use.
Example MBPO implementation with ReLAx
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.
Model-Based RL Multi-Tasking with ReLAx
Select the most appropriate model out of a library of models by assessing the performance of the models online
A curated list of awesome Model-based reinforcement learning resources
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