Exploring agent behavior at scale
A lightweight framework for large-scale social experiments with LLM and RL agents — where agents can talk, decide, and be swapped with humans for RLHF-like setups.
Research focus
- Scalable simulations of communicating agents.
- Minimal modules for reproducible results.
- Effects of social parameters on cooperation.
Modules
- Agent memory & reflection
- Simple experiment protocols
- Visualization via Phaser