2 citations · 2 across the 12 of their papers we have counts for
5 papers · 1 filter
Narrative-to-Scene Generation: An LLM-Driven Pipeline for 2D Game Environments
Yi-Chun Chen, Arnav Jhala
Recent advances in large language models (LLMs) enable compelling story generation, but connecting narrative text to playable visual environments remains an open challenge in proce…
Minding Motivation: The Effect of Intrinsic Motivation on Agent Behaviors
Leonardo Villalobos-Arias, Grant Forbes, Jianxun Wang +2
Games are challenging for Reinforcement Learning~(RL) agents due to their reward-sparsity, as rewards are only obtainable after long sequences of deliberate actions. Intrinsic Moti…
GameTileNet: A Semantic Dataset for Low-Resolution Game Art in Procedural Content Generation
Yi-Chun Chen, Arnav Jhala
GameTileNet is a dataset designed to provide semantic labels for low-resolution digital game art, advancing procedural content generation (PCG) and related AI research as a vision-…
Action-Dependent Optimality-Preserving Reward Shaping
Grant C. Forbes, Jianxun Wang, Leonardo Villalobos-Arias +2
Recent RL research has utilized reward shaping--particularly complex shaping rewards such as intrinsic motivation (IM)--to encourage agent exploration in sparse-reward environments…
Towards Using Voice for Hedonic Shopping Motivations
Morteza Behrooz, Preetham Kolari, Fred Zaw +2
Besides the utilitarian aspects of online shopping, hedonic motivations play a significant role in shaping the shopping behavior of online users. With the increased popularity of v…