deepq-learning

There are 2 repositories under deepq-learning topic.

LaurentVeyssier / Minimize-Energy-consumption-with-Deep-Learning-model
Use Deep Q-Learning model to optimize energy consumption of a data center
keras qlearning-algorithm cost-optimization experience-replay deepq-learning deep-neural-networks reinforcement-learning
Language:Jupyter Notebook 21
cryptopapi997 / GDBot
Geometry Dash Bot
pytorch deepq-learning python machine-learning bot
Language:Python 13
sourenaKhanzadeh / snakeAi
Reinforcement Learning with the classic snake game
reinforcement-learning neural-network deepq-learning markov-decision-processes multiprocessing pygame pytorch
Language:Python 13
atul-1511 / RL-Recommendation-System
Recommendation System using Deep Q-Networks and Double Deep Q-Networks
recommendation-system reinforcement-learning deepq-learning double-dqn python
Language:Python 12
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
shayantaherian / Reinforcement-Learning-CARLA
Reinforcement learning using CARLA simulator
carla-simulator deepq-learning reinforcement-learning
Language:Python 10
abdalla1912mohamed / Deep_reinforcement_learning_Bachelor_project
Deep Reinforcement Learning navigation of autonomous vehicles. Implementation of deep-Q learning, dyna-Q learning, Q-learning agents including SSMR(Skid-steering_mobile robot) Kinematics in various OpenAi gym environments
autonomous-vehicles deep-learning deep-neural-networks deepq-learning dynaq gridworld-environment mapping navigation openai-gym pandas pathplanning python q qlearning-algorithm reinforcement-learning simulation
Language:Python 7
nitish-kalan / MountainCar-v0-Deep-Q-Learning-DQN-Keras
Solving MountainCar-v0 environment in Keras with Deep Q Learning an Deep Reinforcement Learning algorithm
reinforcement-learning machine-learning reinforcement-learning-algorithms qlearning qlearning-algorithm mountaincar-v0 deepq-learning dqn dqn-tensorflow dqn-tf
Language:Python 7
MehranTaghian / k-search-trader
A trading strategy using optimal algorithms for k-Search
dqn trade deepq-learning rpp-algorithms reservation-price-policy optimal-k-search
Language:Python 5
TicTacToe
amaynez / TicTacToe
Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.
game game-development pygame python tic-tac-toe tictactoe tictactoe-game application deep deep-learning deep-neural-networks deepq-learning deepqlearning artificial-intelligence artificial-neural-networks artificial-intelligence-algorithms neural-network replay-memory dqn
Language:Python 4
Mephistopheles-0 / RL-trading-strategy
Utilizing reinforcement learning, this project implements a dynamic algorithmic trading strategy based on Q-learning with a deep Q-network. The Jupyter Notebook explores agent decisions on buying, selling, or holding Nasdaq stocks over a ten-year period (2014-2023).
algorithmic-trading deep-learning deepq-learning finance nasdaq reinforcement-learning trading trading-strategies yahoo-finance
4
rishiraj / Deep-Q-Learning
deepq-learning reinforcement-learning lunar-lander dueling-ddqn
Language:Python 3
allwinlucious / FlappyBird_DQN
AI learns to play Flappy Bird using Deep Q Learning
ai deep-learning deepq-learning dqn dqn-pytorch flappy-bird game machine-learning neural-network reinforcement-learning
Language:Python 2
hischen / reinforcement-learning
Reinforcement learning algorithm implements.
actor-critic bandit ddpg-algorithm deep-reinforcement-learning deepq-learning monte-carlo multi-armed-bandit policy-gradient prioritized-experience-replay proximal-policy-optimization qlearning reinforcement-learning reinforcement-learning-algorithms sac sarsa-algorithm trpo
Language:Jupyter Notebook 2
ShkarupaDC / game_ai
Pacman game and AI agents
python ai game astar bfs deepq-learning dfs expectimax minimax pacman
Language:Python 2
abdulqadirs / atari-pong-reinforcement-learning
RL Agent for Pong Game using Openai Gym and PyTorch
python pytorch reinforcement-learning pong-game openai-gym deepq-learning
Language:Python 1
alexcaselli / Deep-Q-Network-Atari-Breakout
The purpose of this project is to train a Deep Q-Network agent (https://daiwk.github.io/assets/dqn.pdf) using the OpenAI Gym environment (https://gym.openai.com/) to play the famous Atari game BreakOut. The DQN agent has 3 main components: the online Q-network, the target Q-network, and a replay buffer.
reinforcement-learning deep-learning deepq-learning tensorflow
Language:Python 1
BLee-bot / 239A-Reinforcement-Learning
This project investigates the intuitions/ideas behind Double DQN, and evaluate how much it can improve Q-value overestimation and agent performance. We aim to describe how the learning/update process in Double DQN ends up with better Q-value estimates and agent performance when comparing to that of DQN.
deepq-learning double-dqn
Language:Jupyter Notebook 1
emem365 / MazeRunner
Using Deep Q Learning to solve a maze
python python3 deepq deepq-learning maze mazerunner
Language:Python 1
Node-UiB / ai_racer
Reinforcement learning project on driving a car in a 2d environment
deep-learning deepq-learning pygame pytorch reinforcement-learning
Language:Python 1
zutshianand / Self_Driving_Car_AI
This is a demo of a self driving car in python using PyTorch and Kivy
self-driving-car reinforcement-learning python deepq-learning pytorch kivy
Language:Python 1
anggonoraymond / Steve-The-Builder
Using Deep Q Reinforcement Learning, watch our Minecraft agent, Steve, protect himself for as long as possible against Ghasts by building a shelter-like block structure.
malmo python3 pytorch artificial-intelligence machine-learning deepq-learning reinforcement-learning
Language:Python 0
DeeparthGupta / banana_navigation
A deep Q-learning agent to navigate a modified UnityML Banana navigation environment
reinforcement-learning deepq-learning
Language:ASP.NET 0
EricKolibacz / nim
Q and DeepQ Reinforcement Learning for NIM
deepq-learning nim qlearning reinforcement-learning
Language:Python 0
hanyuanz2000 / Human-and-RL-Agent-Adaptation-in-Flappy-Bird-Variations
Explore the role of prior knowledge in the learning curve and adaptability of both humans and RL agents
cognitive-science deepq-learning flappybird reinforcement-learning
Language:Jupyter Notebook 0
krflorian / deep_rl_sandbox
Sandbox for Deep Reinforcement Learning Algorithms
deeprl gym-environment deepq-learning ddqn
Language:Jupyter Notebook 0
m4mbo / frozenlake-ddq-learning
This repository showcases the implementation of a Double Deep Q-Learnig algorithm for the FrozenLake environment from Open AI's gym library.
deepq-learning frozenlake machine-learning pytorch reinforcement-learning doubledeepqlearning
Language:Jupyter Notebook 0
MelvinMo / Agent-Training-for-Breakout-Game
The development of an AI agent proficient in the classic game 'Breakout,' utilizing deep reinforcement learning and a DQN architecture.
ai artificial-intelligence breakout-game deepq-learning openai-gym-environments pyhton
Language:Jupyter Notebook 0
Neill-Erasmus / kung-fu
I utilized the A3C (Asynchronous Advantage Actor-Critic) algorithm to train a Deep Q-Learning (DQN) model, specifically tailored to solve the Kungfu gym environment.
a3c artificialintelligence asynchronous-advantage-actor-critic deep-learning deepconvolutionalqlearning deepq-learning gymnasium kungfu qlearning
Language:Python 0
Neill-Erasmus / lunar-lander
Trained a Deep Q-Learning agent to autonomously land a lunar module in OpenAI's Gymnasium Lunar Lander environment.
artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks deep-reinforcement-learning pytorch reinforcement-learning reinforcement-learning-algorithms deepq-learning qlearning
Language:Python 0
niranjana1997 / Nokia_Snake_Game_With_Reinforcement-Learning
This project is about implementing the reinforcement learning algorithm Deep Q-Learning on the Nokia's Snake Game to predict the actions. It makes use of the Python's Pygame and Pytorch libraries.
agent deepq-learning dqn-pytorch feedforward-neural-network neural-network pygame pytorch reinforcement-learning rewards
Language:Python 0
OpenAi-Gym-Solution
Gabe-MGNT / OpenAi-Gym-Solution
Here are few solutions made for OpenAI Gym tasks (TaxiCar, FrozenLake, Mountain Car, Cliff Walking...) using Tensorflow Keras
gym python reinforcement-learning deep-learning deepq-learning keras qlearning tensorflow
Language:Jupyter Notebook
IshraqueSarwar / NITE
Implementing a reinforcement learning agent (enemy) for 2D melee combat game and see the impact of RL in small scale and fluidity in 2D games
deepq-learning machine-learning qlearning-algorithm reinforcement-learning-agent reinforcement-learning-algorithms reinforcement-learning-environments
Language:Python
rohit-chandra / AI_snake_game
Train an AI agent to play snake game
deepq-learning python pytorch reinforcement-learning
truong2710-cyber / Flappy-Bird-DQN-TF-2.0
deepq-learning flappy-bird q-learning reinforcement-learning
Language:Python
tyknkd / lunar-lander-rl-project
AI reinforcement learning virtual lunar lander project
ai deep-learning deepq-learning reinforcement-learning
Language:Jupyter Notebook

deepq-learning

LaurentVeyssier / Minimize-Energy-consumption-with-Deep-Learning-model

cryptopapi997 / GDBot

sourenaKhanzadeh / snakeAi

atul-1511 / RL-Recommendation-System

akshayratnawat / ReachingTargetLocation_ReinforcementLearning_Webots

shayantaherian / Reinforcement-Learning-CARLA

abdalla1912mohamed / Deep_reinforcement_learning_Bachelor_project

nitish-kalan / MountainCar-v0-Deep-Q-Learning-DQN-Keras

MehranTaghian / k-search-trader

amaynez / TicTacToe

Mephistopheles-0 / RL-trading-strategy

rishiraj / Deep-Q-Learning

allwinlucious / FlappyBird_DQN

hischen / reinforcement-learning

ShkarupaDC / game_ai

abdulqadirs / atari-pong-reinforcement-learning

alexcaselli / Deep-Q-Network-Atari-Breakout

BLee-bot / 239A-Reinforcement-Learning

emem365 / MazeRunner

Node-UiB / ai_racer

zutshianand / Self_Driving_Car_AI

anggonoraymond / Steve-The-Builder

DeeparthGupta / banana_navigation

EricKolibacz / nim

hanyuanz2000 / Human-and-RL-Agent-Adaptation-in-Flappy-Bird-Variations

krflorian / deep_rl_sandbox

m4mbo / frozenlake-ddq-learning

MelvinMo / Agent-Training-for-Breakout-Game

Neill-Erasmus / kung-fu

Neill-Erasmus / lunar-lander

niranjana1997 / Nokia_Snake_Game_With_Reinforcement-Learning

Gabe-MGNT / OpenAi-Gym-Solution

IshraqueSarwar / NITE

rohit-chandra / AI_snake_game

truong2710-cyber / Flappy-Bird-DQN-TF-2.0

tyknkd / lunar-lander-rl-project