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 )
Benchmarks
These leaderboards are used to track progress in SNES Games
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Mario AI
Most implemented papers
Large-Scale Study of Curiosity-Driven Learning
openai/large-scale-curiosity
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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.
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
This paper trains a GAN to generate levels for Super Mario Bros using a level from the Video Game Level Corpus.
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Being able to reach any desired location in the environment can be a valuable asset for an agent.
Playing SNES in the Retro Learning Environment
nadavbh12/Retro-Learning-Environment
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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.
