28 citations · 50 across the 13 of their papers we have counts for
4 papers · 1 filter
Enforcing Narrative Reliability and Epistemic Pacing in LLM-Driven Detective Games via Structured Knowledge Trees
Parsa Rahmati, Richard Zhao
Large Language Models (LLMs) enable open-ended dialogue in interactive games, but their non-deterministic outputs make it difficult to preserve authorial control, factual consisten…
From Frustration to Fun: An Adaptive Problem-Solving Puzzle Game Powered by Genetic Algorithm
Matthew McConnell, Richard Zhao
This paper explores adaptive problem solving with a game designed to support the development of problem-solving skills. Using an adaptive, AI-powered puzzle game, our adaptive prob…
Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration
Mahdi Farrokhi Maleki, Richard Zhao
Procedural Content Generation (PCG) is defined as the automatic creation of game content using algorithms. PCG has a long history in both the game industry and the academic world.…
Exploring Adaptive MCTS with TD Learning in miniXCOM
Kimiya Saadat, Richard Zhao
In recent years, Monte Carlo tree search (MCTS) has achieved widespread adoption within the game community. Its use in conjunction with deep reinforcement learning has produced suc…