dqn-algorithm

2048 environment for Reinforcement Learning and DQN algorithm

A reinforcement learning project exploring different RL algorithms. Namely: QLearning, DQN, PPO, TreeQN, SAVE,

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

First I created an environment of openAI and Gymnasium I have campared Q-Learning Algoirthm and and DQN Learning Algorithm I got best reward DQN Because It's advance

# 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. 🎉🤖

DQN_for_CartPole-v1(Based on stable baselines3)

A small demo of RL algorithms on a trash collector robot

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

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.

Soulution for CartPole_v1

Reinforcement Learning: Cartpole Balancing with a DQN Agent

This project implements a self-driving car agent using Deep Q-Network (DQN) in a simulated highway environment.