-
Updated
Feb 28, 2021 - Python
quantum-reinforcement-learning
Here are 12 public repositories matching this topic...
PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
-
Updated
Jun 29, 2021 - Python
Reinforcement Learning with Variational Quantum Circuits
-
Updated
Sep 4, 2022 - Python
QRLIT: Quantum Reinforcement Learning for Database Index Tuning
-
Updated
Oct 13, 2024 - Jupyter Notebook
Implementation of proof of concept quantum enhanced reinforced learning algorithm, able to find the sequence of quantum gates needed to approximate a given function.
-
Updated
Mar 29, 2022 - Jupyter Notebook
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
-
Updated
Apr 12, 2021 - Python
GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project
-
Updated
Jun 4, 2021 - Jupyter Notebook
Study of entanglement and Shannon entropies in Quantum Reinforcement Learning (and its classical counterpart) in a discrete environment.
-
Updated
Jun 22, 2022 - Python
Comparative study: Quantum vs. classical models for Cart Pole. Examining entanglement layers and data re-uploading, highlighting quantum model superiority.
-
Updated
Jun 14, 2023 - Jupyter Notebook
A quantum reinforcement learning framework based on PyTorch and PennyLane.
-
Updated
Feb 8, 2024 - Python
Study of entanglement and Shannon entropies in Quantum Reinforcement Learning (and its classical counterpart) in a discrete environment.
-
Updated
Jun 22, 2022 - Python
PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
-
Updated
Mar 15, 2023 - Python
Improve this page
Add a description, image, and links to the quantum-reinforcement-learning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the quantum-reinforcement-learning topic, visit your repo's landing page and select "manage topics."