SNES Games
The task is to train an agent to play SNES games such as Super Mario.
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Greatest papers with code
Large-Scale Study of Curiosity-Driven Learning
ICLR 2019
• openai/large-scale-curiosity
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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.
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.
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.
Q-map: a Convolutional Approach for Goal-Oriented Reinforcement Learning
We show how this network can be efficiently trained with a 3D variant of Q-learning to update the estimates towards all goals at once.