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cs.AI2026
Wild Guesses and Mild Guesses in Active Concept Learning
Anirudh Chari, Neil Pattanaik
Human concept learning is typically active: learners choose which instances to query or test in order to reduce uncertainty about an underlying rule or category. Active concept lea…
cs.AI2025
MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems
Anirudh Chari, Suraj Reddy, Aditya Tiwari +2
While large language models (LLMs) have shown promising capabilities as zero-shot planners for embodied agents, their inability to learn from experience and build persistent mental…