mlsanityData to 14 Oct 2026

Static Vs. Agentic Game Master AI for Facilitating Solo Role-Playing Experiences

arXiv 2502.19519 ↗First posted 26 Feb 2025cs.HC cs.AIcited by 2

On the map: LLM agents and tool use → Reinforcement learning for LLM agents

Abstract (arXiv)

This paper presents a game master AI for single-player role-playing games. The AI is designed to deliver interactive text-based narratives and experiences typically associated with multiplayer tabletop games like Dungeons & Dragons. We report on the design process and the series of experiments to improve the functionality and experience design, resulting in two functional versions of the system. While v1 of our system uses simplified prompt engineering, v2 leverages a multi-agent architecture and the ReAct framework to include reasoning and action. A comparative evaluation demonstrates that v2 as an agentic system maintains play while significantly improving modularity and game experience, including immersion and curiosity. Our findings contribute to the evolution of AI-driven interactive fiction, highlighting new avenues for enhancing solo role-playing experiences.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Reinforcement learning for LLM agents, one of 16 directions in LLM agents and tool use. Builds on 10 of its 57 references that are in the map. First posted on arXiv 26 Feb 2025.

Builds on

10 of 57 references.

References · 10

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  2. 2021Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsitycited by 3,073
  3. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,439
  4. 2023Exploring Large Language Models for Communication Games: An Empirical Study on Werewolfcited by 241
  5. 2024Large Language Models and Games: A Survey and Roadmapcited by 93
  6. 2024Large Language Models and Video Games: A Preliminary Scoping Reviewcited by 23
  7. 2024BehAVE: Behaviour Alignment of Video Game Encodingscited by 5
  8. 2024The AffectToolbox: Affect Analysis for Everyonecited by 5
  9. 2023How to Compliment a Human -- Designing Affective and Well-being Promoting Conversational Thingscited by 2
  10. 2020Resonating Experiences of Self and Others enabled by a Tangible Somaesthetic Designcited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Shall We Play a Game? Language Models for Open-ended Wargamescited by 2
  2. 2026Orchestrated Reality: From Role-Play to Living, Playable Game Worlds -- LLM-Driven World Simulation as a Parameterized-Action POMDPcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling
  2. 2023Tachikuma: Understading Complex Interactions with Multi-Character and Novel Objects by Large Language Models
  3. 2024AI-Gadget Kit: Integrating Swarm User Interfaces with LLM-driven Agents for Rich Tabletop Game Applications
  4. 2026"Pharos Night: Crown Pursuit": An AI-Native Deck-Building and Tactical Arena Game Design Based on Multi-Agent Systems
  5. 2026Augmenting Game AI with Deep Reinforcement Learning
  6. 2025Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
  7. 2026AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-Playing
  8. 2026GameBoyWorlds: A Testbed for Self-Improvement in Embodied Video Games