Can Agents Infer Environment from Interaction? Evidence from Agentic Automata Learning

arXiv:2606.16576 · cs.CL · Submitted 2026-06-15 · Read on arXiv

cs.CL

Submitted: 2026-06-15

Updated: 2026-09-27

Project page: https://reefmenaged.github.io/Agentic_Automata_Learning

Terminology

• Active Automata Learning — 9× in this paper · explained in 1 episode
• World Model — 5× in this paper · explained in 7 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Adaptive Planning — 2× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• LLMs as Probabilistic Minimally Adequate Teachers for DFA Learning
• Large Language Models on the Chessboard: A Study on ChatGPT's Formal Language Comprehension and Complex Reasoning Skills
• Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
• ProgramBench: Can Language Models Rebuild Programs From Scratch?
• LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners

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