q-learning-algorithm

There are 1 repository under q-learning-algorithm topic.

linesd / tabular-methods
Tabular methods for reinforcement learning
reinforcement-learning reinforcement-learning-algorithms reinforcement-learning-agent gridworld gridworld-environment gridworld-cliff cliffwalking value-iteration policy-iteration policy-evaluation tabular-methods tabular-environments tabular-q-learning q-learning q-learning-vs-sarsa sarsa sarsa-learning sarsa-algorithm q-learning-algorithm algorithm
Language:Python 34
BY571 / Normalized-Advantage-Function-NAF-
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
reinforcement-learning reinforcement-learning-algorithms q-learning q-learning-algorithm continuous-control ddpg-algorithm dqn naf normalized-advantage-functions prioritized-experience-replay n-step-bootstrapping
Language:Jupyter Notebook 26
PoCInnovation / Open-Zero
Open-zero is a research project aiming to realize the various projects of the company DeepMind
a3c a3c-algorithm pytorch chess-ai gym-environment deepmind reinforcement-learning q-learning-algorithm
Language:Python 13
TimKoornstra / automatic-piano-fingering
This repository contains the code for automatically generating piano fingerings using a reinforcement learning agent that uses Q-Learning.
reinforcement-learning q-learning q-learning-algorithm piano piano-fingering fingering python
Language:Python 12
paper-game
bahadiraraz / paper-game
Turn based strategy game with AI
game pygame python keras-tensorflow q-learning-algorithm
Language:Python 11
akshayratnawat / ReachingTargetLocation_ReinforcementLearning_Webots
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.
reinforcement-learning webots policy-gradient deterministic-policy-gradients q-learning-algorithm deep-reinforcement-learning deepq-learning ddpg-algorithm robotics epuck-robot
Language:Python 10
CristianCosci / Reinforcement_Learning_Mouse_vs_Cat
Two intelligent agents (cat and mouse) compete with each other to achieve their goal. Agents are trained through reinforcement learning (Q-learning).
reinforcement-learning artificial-intelligence q-learning-algorithm reinforcement-learning-environments reinforcement-learning-agent pygame
Language:Python 5
StepanTita / q-learning
a Python-based platformer infused with Q-Learning and dynamic level creation from simple JSON files.
epsilon-greedy game-ai machine-learning machine-learning-algorithms platformer-game python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms reinforcement-learning-environments reinforcement-learning-playground
Language:Python 5
ftmoztl / car-parking-with-reinforcement-learning
Q-learning application to find an optimal parking slot
agent-based-modeling car-parking dynamic-programming hyperparameter-tuning optimization pillow python-3 q-learning-algorithm reinforcement-learning
Language:Jupyter Notebook 4
imm-rl-lab / q-learning_with_bounded_naf
The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022
naf optimal-control q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms reinforcement-learning-environments
Language:Python 4
MauroLuzzatto / Q-Learning-Demo-Play-nChain
This repository contains a Jupyter Notebook with an implemenation of a Q-Learning Agent, which learns to solve the n-Chain OpenAI Gym environment
openai-gym reinforcement-learning python jupyter-notebook q-learning q-learning-algorithm demo gym
Language:Jupyter Notebook 4
Mhijazi16 / AI-GameOptimization
🕹️ Welcome to AI-GameOptimization, 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.
cpp games genetic-algorithm optimization-algorithms q-learning q-learning-algorithm sokoban-game
Language:C++ 4
viniciusenari / Q-Learning-and-SARSA-Mountain-Car-v0
Demonstration of Q-Learning and SARSA algorithms utilizing Python and OpenAI GYM
machine-learning python q-learning q-learning-algorithm q-learning-vs-sarsa reinforcement-learning sarsa-algorithm sarsa-learning
Language:Python 4
nilskruse / mdp
Markov decision process master thesis
markov-decision-processes mdp q-learning q-learning-algorithm q-learning-lambda reinforcement-learning reinforcement-learning-algorithms reinforcement-learning-environments rust sarsa sarsa-lambda
Language:Rust 3
Shyamyar / grid-path-qlearning
Docking robot in a grid environment trained it with Q-learning
pathfinding q-learning-algorithm reinforcement-learning
Language:Python 3
AntoniovanDijck / BlackJackRL
Deep Q Learning blackbox strategies for casino games
blackjack deep-learning deep-neural-networks deep-q-network deep-reinforcement-learning machine-learning mlx muzero q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms rlx tensorflow torch
Language:Jupyter Notebook 2
ghazaleh-mahmoodi / Neural_Networks
This repository contains various networks implementation such as MLP, Hopfield, Kohonen, ART, LVQ1, Genetic algorithms, Adaboost and fuzzy-system, CNN with python.
mlp hopfield-network kohonen-map genetic-algorithm fuzzy-logic keras mnist python cnn convolutional-neural-networks adaboost art fully-connected-deep-neural-network lvq neural-networks q-learning-algorithm frozenlake mountaincar-coninuous
Language:Jupyter Notebook 2
hussein-shamy / Bachelor-Thesis
A collaborative repository for our Bachelor's thesis, focused on optimizing the Cell Outage Compensation (COC) algorithm in Self-Organizing Networks (SONs). Leveraging AI-Hardware Acceleration, the project aims to bolster 5G network reliability, particularly for emerging technologies like autonomous driving.
5g ai-accelerators q-learning-algorithm self-organizing-network thesis fpga
Language:TeX 2
LauraKarimova / Big_Data_Research_Project
The 3D bin packing problem is a combinatorial optimization problem that involves fitting a given set of items of various sizes into a container of a specific size such that the total volume of the items is as close to the volume of the container as possible.
model-free-rl q-learning-algorithm reinforcement-learning deep-q-network
Language:Jupyter Notebook 2
marcocolangelo / Computational-Intelligence
The content of this repository will be inherent to the Computational Intelligence course at Polytechnic University of Turin academic year 2023/2024
episodic-memory evolutionary-algorithms evolutionary-strategy genetic-algorithm intelligence-analysis mcts-implementations monte-carlo-tree-search path-search-algorithm q-learning-algorithm reinforcement-learning steady-state-analysis
Language:Jupyter Notebook 2
officialarijit / DQLFS
Dynamic Q-Learning Based Feature Selection approach
machine-learning q-learning-algorithm q-learning
Language:MATLAB 2
sahandkhoshdel99 / Intelligent-Systems-ML-
naive-bayes-classifier svm-classifier neural-networks q-learning-algorithm genetic-algorithm gradient-descent stochastic-gradient-descent bootsrapping decision-trees simulated-annealing fuzzy-systems optimzation armijo-backtrack bias-variance-tradeoff clustering-algorithms knn-classifier affinity-propagation k-means-clustering random-forest-classifier mlp-classifier
Language:Jupyter Notebook 2
Samthesimpsons / Project-Reinforcement-Learning-Wordle-Solver
SUTD 50.021 Artificial Intelligence Project - Wordle Solver using Reinforcement Learning
agglomerative-clustering levenshtein-distance q-learning-algorithm reinforcement-learning-algorithms wordle-solver python
Language:Python 2
showman-sharma / taxi-v3-learning
In this project, we tried two different Learning Algorithms for Hierarchical RL on the Taxi-v3 environment from OpenAI gym. SMDP Q-Learning and Intra Option Q-Learning and contrasted them with two other methods that involve hardcoding based on human understanding. We conclude that the solutions learnt by machine are way superior than humans for this problem. Intra Option Q-Learning outperforms SMDP Q-Learning because of better usage of the SARS samples (similar to experience replay). Our algorithms even outperform the Hardcoded Agent. We also demonstrated and concluded the strong effectiveness of state compression on the model performance.
machine-learning openai-gym q-learning-algorithm reinforcement-learning semi-markov-decision-process taxi-v3 opengy
Language:Jupyter Notebook 2
VOCdevShy / Q-Learning_Frozen_Lake
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.
agent ai artificial-intelligence detailed frozenlake gym gymnasium machine-learning python q-learning q-learning-algorithm reinforcement-learning
Language:Python 2
Abrarulhassan-786 / FrozenLake
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
artificial-intelligence-algorithms frozenlake frozenlake-v0 machine-learning-algorithms q-learning-algorithm reinfrocement-learning
Language:Python 1
Ayoub-etoullali / Activites-Pratiques-SMA-And-IA-Distribuee
Multiplayer Game, Security, DF Service Implementation, Genetic Algorithm Implementation, Multi-Agent Systems Enhanced With Q-Learning Implementation For Improved Decision-Making.
df-services genetic-algorithm genetic-algorithm-java genetic-algorithms java multi-agent multi-agent-learning multi-agent-system multi-agent-systems multi-agents multiplayer-game q-learning q-learning-algorithm security
Language:Java 1
CalixtheMattei / Reinforcement-Learning---MDP
Unsupervised Learning on OpenAI Gym to understand the properties of such algorithms, using Value Iteration and Q-Learning algorithmn. Developed with my coding friend @jibrilsharafi.
markov-decision-processes openaigym q-learning-algorithm value-iteration
Language:Jupyter Notebook 1
EnriqManComp / smart-disks-d3qn
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
deep-reinforcement-learning pygame pytorch q-learning-algorithm reinforcement-learning
Language:Python 1
esscova / qlearning-acoes
trading bot using q-learning
machine-learning machinelearning-python python q-learning q-learning-algorithm
Language:Jupyter Notebook 1
gsiatras / TUC_Reinforcement_Deep_Learning_Algorithms_in_Poker
Reinforcement learning algorithms in poker games
policy policy-iteration q-learning-algorithm q-learning-vs-sarsa reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms ddqn dqn dueling-ddqn pytorch
Language:Python 1
IGORSVOLOHOVS / my-microsoft-azure-quantum-learning
Q# (Q Sharp) is a programming language developed by Microsoft specifically for quantum computing. Here, code with quantum algorithms and computations will be presented. In the commits, you can observe the topics I have studied.
q quantum-computing microsoft-azure-quantum net-core-sdk q-learning-algorithm
Language:Q# 1
kkKaan / reinforcement-learning-for-tsp
A Q-learning like algorithm to find the optimal solutions for the Travelling Salesman Problem (TSP).
cpp q-learning-algorithm travelling-salesman-problem
Language:C++ 1
sergi-s / Special-Topics-in-Artificial-Intelligence
Porjects for Algorithmic Techniques for Artificial Intelligence
algorithms astar-algorithm bfs-search bidirectional-search connect4-game dfs-search gametheory graph-search-algorithms html-css-javascript iddfs-algorithm javascript minmax-algorithm minmax-alpha-beta-pruning negamax-algorithm pathfinding q-learning-algorithm reinforcement-learning search-algorithm transposition-table tree-search
1
shahriarivari / Diabete_RL
using Rl an agent learns how much insulin to pump.
matlab q-learning-algorithm reinforcement-learning
Language:MATLAB 1
vishal815 / Tictactoe_q_learing_ML
Tic-Tac-Toe Q-Learning is a beginner-friendly example of using reinforcement learning.
github-project machine-learning python-project q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms tic-tac-toe tictactoe-game tictactoe-python vishallazrus q-table reinforcement-learning-environments reinforcementlearning
Language:Jupyter Notebook 1

q-learning-algorithm

linesd / tabular-methods

BY571 / Normalized-Advantage-Function-NAF-

PoCInnovation / Open-Zero

TimKoornstra / automatic-piano-fingering

bahadiraraz / paper-game

akshayratnawat / ReachingTargetLocation_ReinforcementLearning_Webots

CristianCosci / Reinforcement_Learning_Mouse_vs_Cat

StepanTita / q-learning

ftmoztl / car-parking-with-reinforcement-learning

imm-rl-lab / q-learning_with_bounded_naf

MauroLuzzatto / Q-Learning-Demo-Play-nChain

Mhijazi16 / AI-GameOptimization

viniciusenari / Q-Learning-and-SARSA-Mountain-Car-v0

nilskruse / mdp

Shyamyar / grid-path-qlearning

AntoniovanDijck / BlackJackRL

ghazaleh-mahmoodi / Neural_Networks

hussein-shamy / Bachelor-Thesis

LauraKarimova / Big_Data_Research_Project

marcocolangelo / Computational-Intelligence

officialarijit / DQLFS

sahandkhoshdel99 / Intelligent-Systems-ML-

Samthesimpsons / Project-Reinforcement-Learning-Wordle-Solver

showman-sharma / taxi-v3-learning

VOCdevShy / Q-Learning_Frozen_Lake

Abrarulhassan-786 / FrozenLake

Ayoub-etoullali / Activites-Pratiques-SMA-And-IA-Distribuee

CalixtheMattei / Reinforcement-Learning---MDP

EnriqManComp / smart-disks-d3qn

esscova / qlearning-acoes

gsiatras / TUC_Reinforcement_Deep_Learning_Algorithms_in_Poker

IGORSVOLOHOVS / my-microsoft-azure-quantum-learning

kkKaan / reinforcement-learning-for-tsp

sergi-s / Special-Topics-in-Artificial-Intelligence

shahriarivari / Diabete_RL

vishal815 / Tictactoe_q_learing_ML