SNES Games

4 papers with code • 5 benchmarks • 1 datasets

The task is to train an agent to play SNES games such as Super Mario.

( Image credit: Large-Scale Study of Curiosity-Driven Learning )

Datasets


Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

fabiopardo/qmap ICLR 2019

Being able to reach any desired location in the environment can be a valuable asset for an agent.

41
06 Oct 2018

Large-Scale Study of Curiosity-Driven Learning

openai/large-scale-curiosity ICLR 2019

However, annotating each environment with hand-designed, dense rewards is not scalable, motivating the need for developing reward functions that are intrinsic to the agent.

799
13 Aug 2018

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

TheHedgeify/DagstuhlGAN 2 May 2018

This paper trains a GAN to generate levels for Super Mario Bros using a level from the Video Game Level Corpus.

121
02 May 2018

Playing SNES in the Retro Learning Environment

nadavbh12/Retro-Learning-Environment 7 Nov 2016

The environment is expandable, allowing for more video games and consoles to be easily added to the environment, while maintaining the same interface as ALE.

183
07 Nov 2016