AI research environment for the Atari 2600 games 🤖.

강화학습에 대한 기본적인 알고리즘 구현

Breaks out specified attribute from other entities to a sensor

Pytorch implementation of intrinsic curiosity module with proximal policy optimization

📖 Paper: Human-level control through deep reinforcement learning 🕹️

A Python script for finding breakouts in historical data from stocks traded on the Nasdaq and NYSE.

Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.

Breakout is a game created with Python 3, using the module PyGame. It is a ball game where you bounce the ball by moving the paddle. Eliminate all the blocks to win.

👾 My solutions to OpenAI Gym Reinforcement Learning problems.

Breakout game for the ESP32 TTGO LCD module. Game adapted from Volos Projects for PlatformIO.

RL based agent for atari games

Play arcade games in the node tree of Foundry Nuke

This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient

Pinout is a "new" game that mixes the mechanics of the classic Pinball and Breakout games.

This strategy applies Bollinger Band together with Keltner Channel which successfully captured breakout stocks on a daily timeframe.

Implementation of Deep Reinforcement Learning of the paper Mnih et al., 2013 arXiv:1312.5602v1 Playing Atari game Breakout in gym environment running on tensorflow 2.3.1 and keras 2.4.0

train an AI to play breakout with simple Q-learning algorthim

Implementation of Deep Q-Network (DQN) on OpenAI games: Pong and Breakout using Tensorflow and Numpy

breakout clone using python curses

Idle Breakout Save Hack by Xsus