6 papers
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…
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-…
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…
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…
Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping Rewards
Grant C. Forbes, Leonardo Villalobos-Arias, Jianxun Wang +2
Recently there has been a proliferation of intrinsic motivation (IM) reward-shaping methods to learn in complex and sparse-reward environments. These methods can often inadvertentl…