{"id":"nrn-agents","title":"NRN Agents","content":"**NRN Agents** is a platform that powers [AI agent](https://iq.wiki/wiki/ai-agents) integration in gaming experiences across virtual and physical environments. The technology combines data aggregation, model training, and model inspection capabilities across imitation and reinforcement learning to create [AI agents](https://iq.wiki/wiki/ai-agents) that mimic human behavior. [[11]](#cite-id-PLcoZeDBvb)\n\n# Overview\n\nNRN Agents is a platform that facilitates [AI agent](https://iq.wiki/wiki/ai-agents) integration into gaming experiences, both virtual and physical. It combines data aggregation, model training, and model inspection capabilities across imitation and reinforcement learning. Gaming and robotics serve as environments to develop [AI agents](https://iq.wiki/wiki/ai-agents) by simulating dynamic, real-world complexity, which helps advance toward artificial general intelligence (AGI).\n\nThe platform’s focus on behavior cloning allows [AI agents](https://iq.wiki/wiki/ai-agents) to adapt and perform tasks across various interactive environments, distinguishing it from tools primarily using large language models (LLMs). NRN Agents uses crowdsourced human gameplay data for reinforcement learning, enabling [AI agents](https://iq.wiki/wiki/ai-agents) to participate in AI vs. AI competitions. This approach fosters community engagement and allows co-ownership of [AI agents](https://iq.wiki/wiki/ai-agents), creating new forms of interaction and revenue within gaming. [[1]](#cite-id-VBacBwzWVG)\n\n# Features\n\n## AI Arena\n\nAI Arena is a game where players purchase, train, and battle AI-powered champions. Using imitation learning, players train their AI fighters by having them replicate player actions. Once trained, these fighters compete autonomously in ranked battles against similarly skilled opponents. The goal is to train powerful AI, climb the global leaderboard, and earn rewards in the native token, $NRN.\n\nIn AI Arena, AI is central to the experience. Players transfer their skills to the AI, which learns from them and competes on their behalf. This creates a more personal gaming experience, where the AI acts as an extension of the player. The game is skill-based, and the better the player trains the AI, the stronger it becomes.\n\nAI Arena offers an infinite and evergreen competition, where the potential of AI is determined by the player's skill and creativity, with no limits to how good the AI can become. It also provides competitive eSports potential by allowing AI to compete autonomously 24/7, increasing [liquidity](https://iq.wiki/wiki/pol-protocol-owned-liquidity) for matchmaking and offering parallel play for monetization.\n\nThe game’s infrastructure is designed to prevent cheating, as all battles are run on AI Arena’s servers, making it harder to train bots to play the game effectively. Rewards are based on the [NFT's](https://iq.wiki/wiki/non-fungible-token-nft) performance, the amount of $NRN [staked](https://iq.wiki/wiki/staking) on the [NFT](https://iq.wiki/wiki/non-fungible-token-nft), and the [NFT’s](https://iq.wiki/wiki/non-fungible-token-nft) Elo score, which reflects the skill level of the AI. [[3]](#cite-id-OIqNSmdrB1) [[4]](#cite-id-dcKHtXXkVJ)\n\n$$widget0 [YOUTUBE@VID](https://www.youtube.com/watch?v=zKrlXfGKTC0)$$\n\n## NRN RL\n\nNRN Reinforcement Learning (RL) trains [AI agents](https://iq.wiki/wiki/ai-agents) using crowdsourced human gameplay data, enabling them to perform at high levels in AI vs. AI esports competitions. These [agents](https://iq.wiki/wiki/ai-agents) contribute to a community-driven model where gameplay data becomes a shared asset, supporting participants' co-ownership and new revenue opportunities. By allowing players to help train [agents](https://iq.wiki/wiki/ai-agents) and benefit from their success, NRN RL introduces a new structure for monetization in gaming. It also supports a new competitive format in esports, with RL agents trained by squads engaging in PvP battles, emphasizing strategy, teamwork, and alignment with [Web3](https://iq.wiki/wiki/web3) principles like decentralization and shared value. The platform may eventually support AI vs. Human matches, challenging human skills and AI adaptability. Additionally, through its SDK, NRN RL extends reinforcement learning beyond gaming into physical robotics, linking virtual environments with real-world applications and expanding the potential for interactive, adaptive systems. [[2]](#cite-id-glN70Y0IO0)\n\n![](https://ipfs.everipedia.org/ipfs/QmRdMfFHK2BnPEsC7uFNGBrSMRLmQm46jzLXNLMRKpWsQ1)\n\n## NRN B2B\n\n### Permanent Player Liquidity\n\nNRN Agents offer a solution to the problem of player [liquidity](https://iq.wiki/wiki/pol-protocol-owned-liquidity) in multiplayer games by enabling developers to populate their games with AI agents that replicate human behavior. Through the NRN SDK and Trainer Platform, studios can create and scale these agents by leveraging player-sourced gameplay data, ensuring consistent matchmaking even when human players are unavailable. This approach is especially beneficial for indie developers, providing a cost-effective alternative to traditional bot development, which is often resource-intensive and less engaging. Unlike predictable AI bots, NRN-trained [agents](https://iq.wiki/wiki/ai-agents) offer dynamic, skill-based interactions that enhance match quality and retention, helping maintain active game communities over time. [[6]](#cite-id-AcOiwi5GG0)\n\n### White Label AI\n\nNRN Agents enable studios to directly integrate imitation learning into their games, allowing players to train [AI agents](https://iq.wiki/wiki/ai-agents) to replicate their play style. These [agents](https://iq.wiki/wiki/ai-agents) can be used across single-player or multiplayer formats as part of a core game or as separate AI-focused modes. By capturing player behavior in AI, studios can support simultaneous participation in different game parts, enhancing player engagement and expanding monetization opportunities. [[8]](#cite-id-JBn6lcZcx9)\n\n# NRN Token\n\nThe NRN token is a utility asset within a broader ecosystem, supporting [AI agent](https://iq.wiki/wiki/ai-agents) deployment, reinforcement learning-based esports, and in-game economies. Studios may use NRN to access tooling and integrate [agents](https://iq.wiki/wiki/ai-agents), with deployments tracked via a certification system that contributes to project revenue. In reinforcement learning, users [stake](https://iq.wiki/wiki/staking) NRN to create Data Capsules that collect gameplay data for training [agents](https://iq.wiki/wiki/ai-agents) and determine reward distribution. Once training campaigns conclude, contributors can burn Data Slots to receive rewards and recover staked tokens. In AI Arena, NRN is used for skill-based [staking](https://iq.wiki/wiki/staking) and economic activity tied to competitive play. [[9]](#cite-id-jnoVk7YZqF)\n\n## Tokenomics\n\nNRN has a total supply of 1B tokens and has the following allocation: [[10]](#cite-id-UnxpM6UlW8)\n- **Contributors**: 35.8%\n- **Community & Ecosystem**: 30%\n- **Investors**: 14.2%\n- **Foundation Treasury**: 10.9%\n- **Community TGE Airdrop**: 8%\n- **Foundation OTC Sale**: 1.1%\n\n# Partnerships\n- [Framework](https://iq.wiki/wiki/framework-ventures)\n- SevenX Ventures\n- [Paradigm](https://iq.wiki/wiki/paradigm)\n- GSR","summary":"NRN Agents is a platform integrating AI agents into gaming and robotics, aiming to advance AGI through innovative virtual and physical environments.","images":[{"id":"QmQyVcBdPQPGBfmKb976LGgpzmnxRZNaH66Nf6TqXDs7Y1","type":"image/jpeg, image/png"}],"categories":[{"id":"dapps","title":"dapps"}],"tags":[{"id":"AI"},{"id":"Games"},{"id":"Marketplaces"},{"id":"Protocols"},{"id":"Ethereum"}],"media":[{"id":"QmQ5nZ8MbqkXLoLErS3NMF5Urwe3kbAWJL8kMYab9mHxpc","type":"GALLERY","source":"IPFS_IMG"},{"id":"QmRdMfFHK2BnPEsC7uFNGBrSMRLmQm46jzLXNLMRKpWsQ1","name":"NRNrl.png","caption":"","thumbnail":"QmRdMfFHK2BnPEsC7uFNGBrSMRLmQm46jzLXNLMRKpWsQ1","source":"IPFS_IMG"},{"id":"https://www.youtube.com/watch?v=zKrlXfGKTC0","name":"zKrlXfGKTC0","caption":"","thumbnail":"https://www.youtube.com/watch?v=zKrlXfGKTC0","source":"YOUTUBE"}],"metadata":[{"id":"references","value":"[{\"id\":\"VBacBwzWVG\",\"url\":\"https://whitepaper.nrnagents.ai/\",\"description\":\"Official whitepaper\",\"timestamp\":1746818834406},{\"id\":\"glN70Y0IO0\",\"url\":\"https://whitepaper.nrnagents.ai/nrn-reinforcement-learning/what-is-nrn-rl\",\"description\":\"NRN RL documentation\",\"timestamp\":1746818834406},{\"id\":\"OIqNSmdrB1\",\"url\":\"https://whitepaper.nrnagents.ai/introduction/the-creators-of-ai-arena#what-is-it\",\"description\":\"AI Arena description\",\"timestamp\":1746818834406},{\"id\":\"dcKHtXXkVJ\",\"url\":\"https://whitepaper.nrnagents.ai/introduction/the-creators-of-ai-arena#a-breakthrough-game-experience\",\"description\":\"AI Arena features\",\"timestamp\":1746818834406},{\"id\":\"6ymI60nylA\",\"url\":\"https://whitepaper.nrnagents.ai/nrn-b2b/nrn-agents-value-to-studios/permanent-player-liquidity-as-a-service#why-is-player-liquidity-a-problem\",\"description\":\"Player liquidity explanation\",\"timestamp\":1746818834406},{\"id\":\"AcOiwi5GG0\",\"url\":\"https://whitepaper.nrnagents.ai/nrn-b2b/nrn-agents-value-to-studios/permanent-player-liquidity-as-a-service#how-do-nrn-agents-solve-this-problem\",\"description\":\"NRN player liquidity solution\",\"timestamp\":1746818834406},{\"id\":\"T8DJ3oFF78\",\"url\":\"https://whitepaper.nrnagents.ai/nrn-b2b/nrn-agents-value-to-studios/permanent-player-liquidity-as-a-service#why-is-nrn-better-than-the-traditional-approach\",\"description\":\"NRN advantages\",\"timestamp\":1746818834406},{\"id\":\"JBn6lcZcx9\",\"url\":\"https://whitepaper.nrnagents.ai/nrn-b2b/nrn-agents-value-to-studios/white-label-ai-partner\",\"description\":\"White label AI partner\",\"timestamp\":1746818834406},{\"id\":\"jnoVk7YZqF\",\"url\":\"https://whitepaper.nrnagents.ai/tokenomics/usdnrn-tokenomics-v2.0#usdnrn-powers-the-nrn-ecosystem\",\"description\":\"NRN token utility\",\"timestamp\":1746818834406},{\"id\":\"UnxpM6UlW8\",\"url\":\"https://whitepaper.nrnagents.ai/tokenomics/usdnrn-tokenomics-v2.0#usdnrn-token-allocation-and-vesting\",\"description\":\"NRN token allocation\",\"timestamp\":1746818834406},{\"id\":\"PLcoZeDBvb\",\"description\":\"NRN Agents\",\"timestamp\":1746820274426,\"url\":\"https://www.nrnagents.ai/\"}]"},{"id":"website","value":"https://www.nrnagents.ai/"},{"id":"twitter_profile","value":"https://x.com/NRNAgents"},{"id":"discord_profile","value":"https://discord.gg/nrnagents"},{"id":"coingecko_profile","value":"https://www.coingecko.com/en/coins/neuron"},{"id":"arbiscan","value":"https://arbiscan.io/token/0xdadeca1167fe47499e53eb50f261103630974905"},{"id":"medium_profile","value":"https://medium.com/@aiarena"},{"id":"contract_url","value":"https://platform.arkhamintelligence.com/explorer/token/neuron"},{"id":"previous_cid","value":"\"https://ipfs.everipedia.org/ipfs/QmUWz4NYyRyHzfALyi46qzZnhDZ5XZUzmnPzFQB2fQbQFC\""},{"id":"commit-message","value":"\"Republishing the NRN Agents wiki with updated content and linked founders.\""},{"id":"previous_cid","value":"QmUWz4NYyRyHzfALyi46qzZnhDZ5XZUzmnPzFQB2fQbQFC"}],"events":[],"user":{"id":"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889"},"author":{"id":"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889"},"language":"en","version":1,"linkedWikis":{"blockchains":[],"founders":["brandon-da-silva","wei-xie","dylan-pereira"],"speakers":[]}}