This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
ApartSprints
Multi-agent
Accepted at the 
Multi-agent
 research sprint on 
October 2, 2023

The Firemaker

This submission consists of three parts: 1. A framework built on top of DeepMind's Gridworlds, enabling multi-objective and multi-agent scenarios. I completed the support for multi-agent scenarios during this hackathon. The multi-objective functionality was complete already before. 2. Description of one example multi-agent environment scenario. The scenario illustrates the relationship between corporate organisations and the rest of the world. The scenario has the following aspects of AI safety: ◦A need for the agent to actively seek out side effects in order to spot them before it is too late - this is the main AI safety aspect the author desires to draw attention to; ◦Buffer zone; ◦Limited visibility; ◦Nearby vs far away side effects; ◦Side effects' evolution across time and space; ◦Stop button / corrigibility; ◦Pack agents / organisation of agents; ◦An independent supervisor agent with different interests. 3. Started, but incomplete, implementation of the example multi-agent scenario mentioned in point (2) above.

By 
Roland Pihlakas
🏆 
4th place
3rd place
2nd place
1st place
 by peer review
Thank you! Your submission is under review.
Oops! Something went wrong while submitting the form.

This project is private