Geometry Dash Bot

Reinforcement Learning with the classic snake game

Recommendation System using Deep Q-Networks and Double Deep Q-Networks

Reinforcement learning using CARLA simulator

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.

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

Solving MountainCar-v0 environment in Keras with Deep Q Learning an Deep Reinforcement Learning algorithm

A trading strategy using optimal algorithms for k-Search

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.

Pacman game and AI agents

AI learns to play Flappy Bird using Deep Q Learning

UAV communication using apprenticeship learning via Inverse Reinforcement Learning (IRL)

This is a demo of a self driving car in python using PyTorch and Kivy

Reinforcement learning in classic snake game🐍

Reinforcement learning project on driving a car in a 2d environment

The project discusses an approach to incorporate reinforcement learning with real time object detection for robotic arm applications.

This repository implements a Deep Q-Learning algorithm to train an agent to balance a pole on a cart using the CartPole-v1 environment from Gymnasium. The project includes a TensorFlow-based neural network, epsilon-greedy exploration, experience replay, and visualization of the trained agent's performance.

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.

RL Agent for Pong Game using Openai Gym and PyTorch