Arti AI
  • Overview
  • Visions and Missions
  • How Arti AI works?
  • State-of-the-art Technology
    • Reinforcement Learning
    • Generative Adversarial Networks (GANs)
    • Convolutional Neural Networks (CNNs)
    • Natural Language Processing (NLP)
  • Blockchain Playrole
    • Decentralized Ownership and Control
    • Security and Transparency
    • Faster and Cheaper Transactions
    • Community-Driven Platform
  • NFT
  • Tokenomics
    • Token allocations
    • Token Use Cases
  • Future Archievements
  • Roadmap
  • Everything you need to know
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  1. State-of-the-art Technology

Reinforcement Learning

Reinforcement learning algorithms are used in Arti AI to improve the performance of the AI algorithms over time. The algorithms receive feedback from the discriminator component of the GANs, allowing them to learn from their mistakes and produce better results with each iteration.

PreviousState-of-the-art TechnologyNextGenerative Adversarial Networks (GANs)

Last updated 2 years ago