2 papers
cs.AI2026
Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs
Carissa Cullen, Harry Garland, Alexander Roman +3
Misaligned artificial agents might resist shutdown. One proposed solution is to train agents to lack preferences between different-length trajectories. The Discounted Reward for Sa…
cs.AI2026
Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
Aaron Rose, Carissa Cullen, Sahar Abdelnabi +3
As LLM agents are increasingly deployed in multi-agent systems, they introduce risks of covert coordination that may evade standard forms of human oversight. While linear probes on…