AI Arena RL is a showcase of NRN Reinforcement Learning (RL).
NRN RL harnesses crowdsourced human gameplay data to train AI agents capable of superhuman performance. These agents represent their communities in AI vs. AI esport competitions, driving new layers of engagement, speculation, and community participation.
NRN Trailer Ronin Campaign_v3.mp4
Phase 1 - Data Collection
In the context of the Reinforcement Learning, this is a process of gathering and recording player actions, movement patterns, and decision-making behaviors from gameplay data to train reinforcement learning (RL) agents.
During Phase 1, we're focused on gathering extensive gameplay data to develop the most effective RL agents.
Ronin community, we need your help building this crucial dataset!
Phase 2 - R&D
The NRN team will work in their lab to develop the optimal RL model for in-game training.
Phase 3 - Final Competition
This is where it gets serious. The RL agents will compete against each other using the gameplay data contributed by players. The Ronin community will watch the finals and cheer as their chosen AIcons battle for championship glory.
| RL Agent | Players | AIcon Share | Total |
|---|---|---|---|
| 1st Place | 40% | 10% | 50% |
| 2nd Place | 20% | 5% | 25% |
| 3rd Place | 12% | 3% | 15% |
| 4th Place | 8% | 2% | 10% |
| Total | 80% | 20% | 100% |
Players can select an AIcon to contribute their gameplay data.
<aside>
</aside>
<aside>
</aside>
<aside>
</aside>
<aside>
</aside>
Phase 1
Phase 2 & 3 Details: TBA