Unweighted ranking for value-based decision making with uncertainty
Unweighted ranking for value-based decision making with uncertainty As intelligent systems take on more autonomous roles in society, ensuring they act in ali...
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Understand new AI research with readable explanations and links to the original papers.
Unweighted ranking for value-based decision making with uncertainty As intelligent systems take on more autonomous roles in society, ensuring they act in ali...
History Anchors: How Prior Behavior Steers LLM Decisions Toward Unsafe Actions investigates a critical safety vulnerability in modern AI agents.
ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles ScioMind is a new simulation framework...
How to Interpret Agent Behavior As autonomous AI agents like Claude Code and Codex become more capable, they are increasingly tasked with complex, long-runni...
Decision Tree Ensembles (DTEs) are widely used in critical fields like finance to make predictions based on tabular data.
Position: Assistive Agents Need Accessibility Alignment This paper argues that current AI agents are failing Blind and Visually Impaired (BVI) users because...
Adaptive mine planning under geological uncertainty: A POMDP framework for sequential decision-making introduces a new way to manage the risks inherent in mi...
Learning Local Constraints for Reinforcement-Learned Content Generators This paper introduces a hybrid approach to procedural game level generation that comb...
Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Programs This paper introduces DR-Gym, an open-source, online simulat...
Large language models (LLMs) are increasingly used as long-term assistants, but they often struggle to retain and reuse historical information effectively.
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