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#

q-learning-algorithm

Here are 158 public repositories matching this topic...

PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

  • UpdatedFeb 16, 2021
  • Jupyter Notebook

This repository contains the code for automatically generating piano fingerings using a reinforcement learning agent that uses Q-Learning.

  • UpdatedOct 15, 2021
  • Python

Open-zero is a research project aiming to realize the various projects of the company DeepMind

  • UpdatedSep 11, 2021
  • Python
paper-game

Turn based strategy game with AI

  • UpdatedMar 4, 2023
  • Python

The objective is to teach robot to find and reach the target object in the minimum number of steps and using the shortest path and avoiding any obstacles such as humans, walls, etc usinf reinforcement learning algorithms.

  • UpdatedJun 17, 2021
  • Python

Implementation of Q-learning to solve GridWorld

  • UpdatedAug 31, 2025
  • Python

Q-Learning Based Pathfinding in Dynamic Grid Environments

  • UpdatedAug 29, 2025
  • Rust

Two intelligent agents (cat and mouse) compete with each other to achieve their goal. Agents are trained through reinforcement learning (Q-learning).

  • UpdatedApr 16, 2024
  • Python

This repository contains a Jupyter Notebook with an implemenation of a Q-Learning Agent, which learns to solve the n-Chain OpenAI Gym environment

  • UpdatedOct 8, 2023
  • Jupyter Notebook

The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022

  • UpdatedSep 30, 2022
  • Python

Demonstration of Q-Learning and SARSA algorithms utilizing Python and OpenAI GYM

  • UpdatedFeb 15, 2021
  • Python

A reinforcement learning agent with reflection capabilities for dynamic maze navigation. Implements dual memory system, real-time adaptation, and environment change detection. Open source with research papers and documentation.

  • UpdatedAug 25, 2025
  • Python

Docking robot in a grid environment trained it with Q-learning

  • UpdatedJun 26, 2021
  • Python

🕹️ Welcome to Game-Optimization, a repository dedicated to exploring and implementing various optimization algorithms to solve complex games. This project initially focuses on solving the classic game Sokoban using the Q-learning algorithm, with plans to extend to genetic algorithms and other optimization techniques in the future.

  • UpdatedMay 29, 2024
  • C++

Implementation of Q-Learning, Double Q-Learning, and LSPI for pricing American options under the Black-Scholes model

  • UpdatedSep 9, 2024

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