https://github.com/TheHedgeify/DagstuhlGAN
공식 코드Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Papers with Code 아카이브
SNES Games
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The task is to train an agent to play SNES games such as Super Mario.
<span style="color:grey; opacity: 0.6">( Image credit: Large-Scale Study of Curiosity-Driven Learning )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nadavbh12/Retro-Learning-Environment
공식 코드https://github.com/openai/large-scale-curiosity
공식 코드https://github.com/SPark9625/Large-Scale-Study-of-Curiosity-Driven-Learning
https://github.com/amidos2006/Mario-AI-Framework
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
https://github.com/amidos2006/etpkldiv
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
https://github.com/fabiopardo/qmap
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
https://github.com/jcwleo/curiosity-driven-exploration-pytorch
https://github.com/self-supervisor/how_to_stay_curious_while_avoiding_noisy_tvs
https://github.com/vdean/audio-curiosity
https://github.com/yl3829/Q-map
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.