One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL
The episode discusses a paper titled "Simulator Collapse in Multi-Agent RL." The hosts explain how training an AI against a single, frozen simulator causes its behavior to collapse into narrow, repetitive strategies. They conclude that diversifying the training environment is critical for building robust AI systems.