# game-playing agents Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/game-playing-agents
> Markdown URL: https://aitinkerers.org/technologies/game-playing-agents.md
> Technology record last updated: 2026-07-11T19:37:07Z
> Generated: 2026-09-21T23:33:50Z

Autonomous software systems that use reinforcement learning and natural language to navigate, strategize, and master complex virtual environments.

Game-playing agents have evolved from single-purpose algorithms like AlphaStar (which mastered StarCraft II) into highly adaptable generalists. Modern systems like Google DeepMind's SIMA (Scalable Instructable Multiworld Agent) do not rely on game-specific source code or custom APIs; instead, they interact with virtual worlds through standard keyboard-and-mouse inputs and real-time visual processing. By pairing deep reinforcement learning with natural-language understanding, these agents can execute hundreds of tasks across diverse 3D environments (such as No Man's Sky and Valheim) based on simple verbal instructions. This rapid progress in virtual spatial-temporal reasoning serves as a critical sandbox for training the next generation of real-world robotics and embodied physical AI.

- Official technology site: https://deepmind.google/discover/blog/sima-generalist-ai-agent-for-3d-virtual-environments/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Teaching an LLM to Play Riftbound](https://ottawa.aitinkerers.org/talks/rsvp_CPcwK2QKRgg)

Samuel demonstrates a framework he built to teach AI agents to play Riftbound, the League of Legends-based trading card game. The system translates English card text and the current board state into legal actions, uses Gemma to choose moves in player-versus-bot or bot-versus-bot simulations, and is designed to generate training experience so a faster machine-learning policy can eventually select optimal plays without relying on slower LLM inference at the final decision stage.

- Event context: AI Tinkerers Ottawa Meetup - June 20th, 2026 — 2026-06-20 — Ottawa
- Public talk page: https://ottawa.aitinkerers.org/talks/rsvp_CPcwK2QKRgg

## Related Technologies

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- [Gemma](https://aitinkerers.org/technologies/gemma) ([Markdown](https://aitinkerers.org/technologies/gemma.md)) — 4 public demos
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- [Reinforcement Learning](https://aitinkerers.org/technologies/reinforcement-learning) ([Markdown](https://aitinkerers.org/technologies/reinforcement-learning.md)) — 6 public demos
