Tabular methods for reinforcement learning
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Updated
Jul 3, 2020 - Python
Tabular methods for reinforcement learning
This repository contains the code for automatically generating piano fingerings using a reinforcement learning agent that uses Q-Learning.
Open-zero is a research project aiming to realize the various projects of the company DeepMind
Turn based strategy game with AI
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.
Two intelligent agents (cat and mouse) compete with each other to achieve their goal. Agents are trained through reinforcement learning (Q-learning).
a Python-based platformer infused with Q-Learning and dynamic level creation from simple JSON files.
The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022
Demonstration of Q-Learning and SARSA algorithms utilizing Python and OpenAI GYM
Docking robot in a grid environment trained it with Q-learning
Q-Learning applied to Gymnasium's Toy Text environments: FrozenLake, CliffWalking, BlackJack, and Taxi.
Made with the gym package from the farama foundation, this project is an hyper detailed version of the Q-Learning reinforcement on the Frozen lake's game.
SUTD 50.021 Artificial Intelligence Project - Wordle Solver using Reinforcement Learning
Python projects for Introduction to Artificial Intelligence course at Warsaw University of Technology.
Build A neural network that can play snack Game using (D.Q.N)
During my Course of Ai in kiet. I was learing reinforce learning algorithm. I have implemented Q-Learnning on Frozen Lake. Great game/ also make ppt for describe code
Implementing Reinforcement Learning (RL) Algorithms for global path planning in tasks of mobile robot navigation.
Reinforcement learning algorithms in poker games
This project aims to find a possible solution to a search problem in a given environment with two players using Deep Reinforcement Learning. Additionally, after one player finds the other, the task shifts to maintaining visibility for the longest possible time
Implementations for the assignments of the course https://www.edx.org/course/cs50s-introduction-to-artificial-intelligence-with-python
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