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  • Introduction
    • The One Min Story | NRN Agents
    • Agents: The Next Big Theme in AI
      • What are AI agents?
      • Why Web3?
      • Why start with games?
    • What is NRN Agents?
    • The Creators of AI Arena
      • Meet the team
  • NRN RL
    • Reinforcement Learning
    • What is NRN RL?
    • Training NRN RL Agents
    • NRN RL's Value to Studios & Web3 Communities
    • Value Creation for an Integrated Ecosystem
  • NRN B2B
    • NRN Agents Value to Studios
      • Permanent Player Liquidity as a Service
      • White Label AI Partner
      • NRN SDK Integration
    • NRN's Value to Gamers
      • NRN Trainer Platform
    • Network Effects
  • Tokenomics
    • $NRN Tokenomics v2.0
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On this page
  • NRN Agents is the R&D lab & factory for AI agents used in your favorite games.
  • Brief Description
  • What Sets NRN Agents Apart?
  • NRN Agents is uniquely positioned in the emerging AI Agent landscape.
  • From human gameplay data to super-intelligence: NRN RL powers collective ownership of advanced gaming agents used in groundbreaking esports experiences.
  • NRN B2B has product-market fit, already generating revenue through 3rd party studio integrations.
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  1. Introduction

The One Min Story | NRN Agents

NextAgents: The Next Big Theme in AI

Last updated 2 months ago

Version 2.0: Updated as of January 26th, 2025. Please note that all content on this documentation site is subject to future revisions and updates.

NRN Agents is the R&D lab & factory for AI agents used in your favorite games.

Brief Description

NRN Agents is a decentralized platform that powers AI agent integration in innovative gaming experiences. The tech stack combines data aggregation, model training, and model inspection capabilities across imitation learning and reinforcement learning.

The NRN Agents ecosystem is powered by the Neuron token $NRN.

What Sets NRN Agents Apart?

NRN Agents is uniquely positioned in the emerging AI Agent landscape.

Among agentic platforms, NRN Agents stands out as one of the best suited to capitalize on this growing opportunity. NRN Agents emphasis on modeling human behavior distinguishes it from other AI tools that primarily rely on large language models (LLMs). Specializing in behavior cloning, NRN Agents focuses on replicating the actions characters take in games. This approach allows NRN's AI agents to emulate human behavior in diverse interactive environments, making them adaptable to almost all game genres.

From human gameplay data to super-intelligence: NRN RL powers collective ownership of advanced gaming agents used in groundbreaking esports experiences.

NRN Reinforcement Learning (RL) harnesses crowdsourced human gameplay data to train AI agents capable of superhuman performance. These agents represent their communities in AI vs. AI competitions, driving new layers of engagement, speculation, community participation, and revenue streams. By transforming gameplay data into collective intelligence, NRN RL enables co-ownership of advanced gaming agents, making competitive gameplay a truly community-driven endeavor.

NRN B2B has product-market fit, already generating revenue through 3rd party studio integrations.

By integrating the NRN Agents SDK, developers can quickly prototype and scale human-like AI agents for their games. Studios can also leverage NRN's Trainer Platform to efficiently crowdsource agents from skilled players. These agents simulate an active player base, enabling players to find matches even when human players are scarce. To address this critical issue, indie studios invest in integrating the NRN Agents SDK, enabling their games to feature lifelike bots.

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