Comparing different algorithm performances on Atari games such as Pong

A project by Paraskevi Kivroglou as part of exploring deep reinforcement learning applications.

Example Rainbow DQN implementation with ReLAx

Breakout is an arcade game developed and published by Atari and released on May 13, 1976. It was created by Nolan Bushnell and Steve Bristov who where influenced by 1972 Atari arcade game Pong and build by Steve Wozniack.

In this project, we attempt to equip the agent with the recognition of basic components of an Atari game environment through curriculum learning—gleaned from human developmental psychology—and evaluate its performance. Our best agent was pre-trained on a carefully designed curriculum to learn to complete a new game 5x faster than regular agents.…

Rewrite of the original 1973 Space Race game developed by Atari in Java

A simple 2D pong game made with Pygame on Python 3.6. (See the readme for more details)

Replicating DeepMind experiments on Atari Games using Deep RL

6502 assembly development for Atari 2600 game console.

Code associated with the paper "Ego Networks"

a board game for Atari ST

It is a project of exploring reinforcement-learning on Atari-Freeway game.

Remake of the Atari classic "Missile Command"

I'm an AI, I play Atari's breakout in my spare time.

Deep Q-learning with TensorFlow

Cowbell Hero for Atari ST

Prioritized DDQN example with ReLAx

PotHole for Atari 2600

Little T-Rex anxiously walking here and there. Written for Atari 2600 VCS.

Game for Atari 2600 VCS about duck flying through an arctic storm.