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.
Model-Based RL Multi-Tasking with ReLAx
Official implementation of L4DC 2023 paper Transition Occupancy Matching -Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
Implementation of a model-based deep reinforcement learning algorithm for the control of partial differential equations.
Fun with Reinforcement Learning in my spare time
Master's thesis on model-based intrinsically motivated reinforcement learning in robotic control
An "over-optimistic" effort to read and summarize a Deep Reinforcement Learning based paper a day 🤩 👊
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
Personal Deep Reinforcement Learning class notes
Example CEM implementation with ReLAx
A multi-agent deep reinforcement learning model to de-traffic our lives
Simple world models lead to good abstractions, Google Cerebra internship 2020/master thesis at EPFL LCN 2021 ⬛◼️▪️🔦
Example DYNA-Q implementation with ReLAx
Master Thesis project
Example Random Shooting implementation with ReLAx
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.
Select the most appropriate model out of a library of models by assessing the performance of the models online
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