yassinhawari/FreeHoopRL

# FreeHoopRLThis project uses a Deep Q-Network (DQN) algorithm to train an AI agent for shooting basketballs in a simple 2D environment. The agent learns to choose the right angle and force to score points, with results visualized through training and analysis graphs. 🎉🤖

Language: Python - Size: 17.6 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

ahmadkh1995/Trash_Collector_Robot_RL

A small demo of RL algorithms on a trash collector robot

Language: Python - Size: 1.16 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

hemanthchebiyam/CarRacing-ReinforcementLearning

This repo hosts a sophisticated reinforcement learning setup for training a DQN agent in “CarRacing-v2”. It has self-adaptive features like dynamic learning rate and domain randomization to boost agent training and performance. It includes an Evaluation Callback for optimal model retention and leverages GPU for quicker training.

Language: Jupyter Notebook - Size: 136 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 1

peiyan03/Stock-MARL

Hybrid Multi-Agent Simulation and Reinforcement Learning framework for financial market forecasting, featuring diverse rule-based traders and a Deep Q-Network trading agent.

Language: Jupyter Notebook - Size: 154 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

yash9657/rainbowdqn

Implemented a Rainbow DQN with Prioritized Experience Replay for Atari games (Space Invaders, CartPole), achieving more efficient learning, faster convergence, and higher performance than traditional DQN.

Language: Jupyter Notebook - Size: 38.6 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

dennismgoetz/RL_inventory_management

"Introduction to Reinforcement Learning" course at the Catholic University of Eichstätt-Ingolstadt

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JaanuNan/ProductRecommendation-using-RL-

A Streamlit application demonstrating Reinforcement Learning (RL) for intelligent product recommendations in online advertising. Explore different RL algorithms and their impact on personalization.

Language: Python - Size: 5.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

LeoRigasaki/Deep-Q-Network-implementation

This repository contains a comprehensive implementation of a Deep Q-Network (DQN) to train an AI agent to play Atari's Breakout game. The implementation leverages OpenAI Gym for the game environment and TensorFlow/Keras for the neural network. Features include experience replay, target networks, and game monitoring via exported videos.

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Sarmadzandi/Deep-Reinforcement-Learning-based-Decision-Making-in-Autonomous-Driving-Tasks

Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 1

riddhima109/Reinforcement-Learning-Snake-Game

The "Reinforcement Learning Snake Game" project uses Deep Q-Learning to train an AI agent to play Snake autonomously. The agent learns to maximize its score by eating apples and avoiding collisions, demonstrating reinforcement learning in a game environment. The project includes game logic, RL agent code, and training scripts.

Language: Python - Size: 315 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

igargikaushik/flappyBird

this project is a 2D platformer| made with Unity engine and C#

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albemordo/dqn

Language: Jupyter Notebook - Size: 282 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

lorenzomancini1/DeepRL

Implementations of some of the most well known Deep Reinforcement Learning algorithms

Language: Python - Size: 17.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lusk4r/algoRL

set of Reinforcement Learning algorithms implemented from scratch

Language: Python - Size: 33.2 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

JANBOUBI-ABDERRAHIM/Trading-bot-Using-Reinforcement-Learning

Language: Jupyter Notebook - Size: 59.1 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 2

YangRui2015/2048_env

2048 environment for Reinforcement Learning and DQN algorithm

Language: Python - Size: 3.15 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 30 - Forks: 12

darknovismc/Reinforcement-Learning-Breakout

Simple breakout game with DQN agent which learn how to play it.

Language: C - Size: 299 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

chirag-singhal/Double-DQN

Deep Reinforcement Learning with Double Q-learning

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SHIVOH/Deep-Reinforcement-Learning-My-First-DQN-Agent

This is an implementation of Deep Reinforcement Learning for a navigation task. Specifically, DQN algorithm with experience replay method is used to solve the task.

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daniels-kb/openai-dqn-cartpole

Reinforcement Learning: Cartpole Balancing with a DQN Agent

Language: Python - Size: 1.89 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1