3 papers
cs.AI2026
Weighted Memory Tree: Remembering What Matters for Long-Horizon LLM Agents
Quang Dao, Purvi Kathalkar, Kenneth Eaton
Large language model (LLM) agents have demonstrated the ability to solve multi-step tasks requiring planning, tool use, and external information access, yet growing execution histo…
cs.LG2025
World Model Robustness via Surprise Recognition
Geigh Zollicoffer, Tanush Chopra, Mingkuan Yan +3
AI systems deployed in the real world must contend with distractions and out-of-distribution (OOD) noise that can destabilize their policies and lead to unsafe behavior. While robu…
cs.AI2025
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer, Kenneth Eaton, Jonathan Balloch +4
Reinforcement learning (RL) using world models has found significant recent successes. However, when a sudden change to world mechanics or properties occurs then agent performance…