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#

q-learning-algorithm

Here are 148 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

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
paper-game

Turn based strategy game with AI

  • UpdatedMar 4, 2023
  • Python

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

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

  • UpdatedJun 26, 2021
  • 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

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

  • UpdatedFeb 15, 2021
  • Python

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

  • UpdatedSep 30, 2022
  • 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++

Codes for the AISTATS 2023 paper, A Statistical Analysis of Polyak-Ruppert Averaged Q-learning.

  • UpdatedJul 21, 2023
  • Python

Build an RL (Reinforcement Learning) agent that learns to play Numerical Tic-Tac-Toe. The agent learns the game by Q-Learning.

  • UpdatedJul 9, 2021
  • Jupyter Notebook

This repository contains various networks implementation such as MLP, Hopfield, Kohonen, ART, LVQ1, Genetic algorithms, Adaboost and fuzzy-system, CNN with python.

  • UpdatedAug 12, 2022
  • Jupyter Notebook

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