Critical Agent

"Critical agent" research explores the behavior and control of agents, both artificial and biological, whose actions significantly impact a system's overall state or performance. Current research focuses on developing methods to ensure the safety and controllability of these agents, particularly in high-stakes scenarios, using techniques like stochastic reward functions in reinforcement learning and critical agent identification within multi-agent systems. This work is crucial for addressing safety concerns in artificial intelligence, improving the robustness of complex systems, and informing responsible development of potentially harmful technologies like biological design tools.