mlsanityData to 7 Oct 2026

Interactive Fiction Games: A Colossal Adventure

arXiv 1909.05398 ↗First posted 11 Sep 2019cs.AI cs.CLcited by 165

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Cited by 56 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

A hallmark of human intelligence is the ability to understand and communicate with language. Interactive Fiction games are fully text-based simulation environments where a player issues text commands to effect change in the environment and progress through the story. We argue that IF games are an excellent testbed for studying language-based autonomous agents. In particular, IF games combine challenges of combinatorial action spaces, language understanding, and commonsense reasoning. To facilitate rapid development of language-based agents, we introduce Jericho, a learning environment for man-made IF games and conduct a comprehensive study of text-agents across a rich set of games, highlighting directions in which agents can improve.

Key facts. Cited by 165 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Sep 2019.

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Citing papers per year: 2020: 1; 2021: 19; 2022: 22; 2023: 27; 2024: 31; 2025: 31; 2026: 34.

165 papers.

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  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  2. 2023AgentBench: Evaluating LLMs as Agentscited by 1,211
  3. 2022WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agentscited by 1,197
  4. 2020Aligning AI With Shared Human Valuescited by 706
  5. 2023Cognitive Architectures for Language Agentscited by 422
  6. 2024AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agentscited by 319
  7. 2022ScienceWorld: Is your Agent Smarter than a 5th Grader?cited by 298
  8. 2022Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimizationcited by 244
  9. 2022Quark: Controllable Text Generation with Reinforced Unlearningcited by 236
  10. 2024ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RLcited by 212
  11. 2024AI Agents That Mattercited by 199
  12. 2023Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmarkcited by 174
38 more
  1. 2021A Survey of Zero-shot Generalisation in Deep Reinforcement Learningcited by 164
  2. 2025Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memorycited by 129
  3. 2024GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluationscited by 118
  4. 2024Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methodscited by 114
  5. 2024A Survey on Large Language Model-Based Game Agentscited by 106
  6. 2024HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Modelcited by 101
  7. 2024AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agentscited by 100
  8. 2024Large Language Models and Games: A Survey and Roadmapcited by 91
  9. 2024DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agentscited by 89
  10. 2023LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Modelscited by 84
  11. 2024Self-playing Adversarial Language Game Enhances LLM Reasoningcited by 80
  12. 2024AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generationcited by 80
  13. 2021What Would Jiminy Cricket Do? Towards Agents That Behave Morallycited by 57
  14. 2025AgentRefine: Enhancing Agent Generalization through Refinement Tuningcited by 51
  15. 2024Can Language Models Serve as Text-Based World Simulators?cited by 50
  16. 2023Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Modelscited by 46
  17. 2022On Transforming Reinforcement Learning by Transformer: The Development Trajectorycited by 35
  18. 2023LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystemcited by 35
  19. 2025EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systemscited by 34
  20. 2023Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuningcited by 33
  21. 2022Aligning to Social Norms and Values in Interactive Narrativescited by 32
  22. 2021Learning Knowledge Graph-based World Models of Textual Environmentscited by 31
  23. 2024On the Challenges and Opportunities in Generative AIcited by 31
  24. 2025Deep Research Bench: Evaluating AI Web Research Agentscited by 31
  25. 2022Multimodal Knowledge Alignment with Reinforcement Learningcited by 30
  26. 2023Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questionscited by 30
  27. 2025ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflectioncited by 30
  28. 2025Training a Generally Curious Agentcited by 29
  29. 2021Language Models are Few-Shot Butlerscited by 27
  30. 2023LARP: Language-Agent Role Play for Open-World Gamescited by 24
  31. 2024Security of AI Agentscited by 24
  32. 2024Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planningcited by 24
  33. 2024AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systemscited by 23
  34. 2022Multi-Stage Episodic Control for Strategic Exploration in Text Gamescited by 22
  35. 2022Few-shot Subgoal Planning with Language Modelscited by 22
  36. 2023ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Gamescited by 22
  37. 2025Monte Carlo Planning with Large Language Model for Text-Based Game Agentscited by 22
  38. 2021Pre-trained Language Models as Prior Knowledge for Playing Text-based Gamescited by 21

50 most cited of 165 All 165 (JSON)