ALEM Multi-Agent Coordination

Experiments on communication, specialization, and leadership in a shared multi-agent world.

Coordination at scale

I use Alem, a multi-agent survival benchmark, to study how teams coordinate over long tasks. The AlemDICE research fork reproduces a small LLM-agent baseline and provides a starting point for experiments on leadership, role coherence, and failures in communication.

My broader studies compare sparse communication, hierarchical organization, and contract-market ideas. These are simulation experiments. An initial held-out market study did not support its proposed positive efficiency claim, so the portfolio treats that result as a finding about the current method rather than a solved coordination problem.

The goal is to understand which coordination structures remain useful as teams and tasks grow.

Recorded simulations

Map of 64 simulated Alem agents and their task locations
A recorded 64-agent Alem replay. The map illustrates the test environment and agent distribution, not a performance comparison.
Coalition behavior in one deterministic simulation replay (seed 10008).
Side-by-side coordination methods in the same simulated setting. This clip is illustrative; the held-out study did not establish an efficiency advantage.