Learning Situation-Conditioned Thinking Policies for Long-Term LLM Agents

arXiv:2610.09590 · cs.AI, cs.RO · Submitted 2026-10-07 · Read on arXiv

cs.AI, cs.RO

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

• RAG — 26× in this paper · explained in 3 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Abstraction — 5× in this paper · explained in 1 episode
• Trace — 5× in this paper · explained in 2 episodes
• Agent Memory — 4× in this paper · explained in 1 episode
• Reasoning Traces — 4× in this paper · explained in 3 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Distillation — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Large Language Model (LLM) — 3× in this paper · explained in 3 episodes
• Temporal Reasoning — 3× in this paper · explained in 2 episodes
• Verification — 3× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Interpretability — 1× in this paper · explained in 15 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• MemGPT: Towards LLMs as Operating Systems
• Voyager: An Open-Ended Embodied Agent with Large Language Models

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