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Name: Htar

Type: User

Htar's Projects

awesome-quantum-ml_fork

Curated list of awesome papers and resources in quantum machine learning

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-forest_quantum_environment

Reinforcement learning environment for the classical synthesis of quantum programs.

gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

machine_learning_examples

A collection of machine learning examples and tutorials.

mdpquantum_fork

Implementation of a Markov Decision Process into a quantum program targeted at reinforcement learning

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

monte_carlo_quantum-policy-iteration_fork

Code repository to the paper "Quantum Policy Iteration via Amplitude Estimation and Grover Search - Towards Quantum Advantage for Reinforcement Learning"

qiskit-algorithms_original_qiskit_community

A library of quantum algorithms for Qiskit. [Official source: https://qiskit-community.github.io/qiskit-algorithms/getting_started.html]

qiskit-community-tutorials

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

qiskit-terra

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.

qiskit-textbook

A university quantum algorithms/computation course supplement based on Qiskit

qiskit-tutorials

A collection of Jupyter notebooks showing how to use the Qiskit SDK

A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.

qrl

GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project

quantum-reinforcement-learning

Implementation of QRL

quantum_agents_copy

Code for Q-learning with parametrized quantum circuits in OpenAI Gym environments. (Htar's Note: State changes by Gym classical)

quantum_machine_learnin_copyg

This is the code for "Quantum Machine Learning" By Siraj Raval on Youtube

quantumcircuit_gym

A gym implementation of our Qiskit quantum circuit environment

reinforcement-learning-based-on-monte-carlo-method

This program is to solve the FrozenLake8x8 with the MC control method.

reinforcement-learning-frozen-lake

Code of different RL implementation to explore the frozen lake example by OpenAI Gym.

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rl_exploration

Repository containing experiments, learnings as I explore RL

siraj-ravels-reinforcement-learning-move37-course

Homework assignments for Sira's RL course

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