dqn-algorithm | Topic | Ecosyste.ms: Repos

Topic: "dqn-algorithm"

YangRui2015/2048_env

2048 environment for Reinforcement Learning and DQN algorithm

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

chirag-singhal/Double-DQN

Deep Reinforcement Learning with Double Q-learning

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3

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: 6 months ago - Pushed at: 6 months ago - Stars: 6 - Forks: 1

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.

Language: Jupyter Notebook - Size: 273 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

albemordo/dqn

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

dennismgoetz/RL_inventory_management

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

Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

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: 20 days ago - Pushed at: 20 days 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.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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: 6 months ago - Pushed at: 6 months 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: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1