MBIT Big Data 2019-2020 Reinforced Learning (DC-03 TP-01)

Using machine learning to efficiently locate objects.

This project has purpose training an DQN Agent to recognize malware traffic.

Reinforcement Learning project using the famous Cart-Pole environment from Gym (OpenAI), Tensorflow, Keras, and Keras-RL

old greek for ship: Ulisses required a ship to explore his environement, the mediterian see. I assume he enjoyed if he experienced good weather with blue skies This module shall facility using keras-rl and bluesky.

Snake Game AI with reinforcement learning using python

Deep RL Trader (Duel DQN) with Keras-RL

Deep Reinforcement Learning for Camera Control

Deep Reinforcement Learning for Frontal View Person Shooting

A simple program, wrote with Keras-rl and OpenAI Gym, with the purpose to train an agent to play tic tac toe game.

Autonomous Face Tracking Drone using keras-rl

Developed an AI program that plays Space Invaders

Implementation of AI bot for Mortal Kombat Sega Genesis game. Deep Q-learning algorithm.

Deep Reinforcement Learning to Play 2048 (with Keras)

Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.

MakeHuman's plugin for auto create human models

An open AI environment using selenium + docker for training automated web agents

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)