Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Duane Szafron"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 4:22-29
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditional reinforcement learning techniques. Our learning rates are action-de
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:1924-1930
In extensive-form games with a large number of actions, careful abstraction of the action space is critically important to performance. In this paper we extend previous work on action abstraction using no-limit poker games as our test domains. We sho
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:1355-1361
In large extensive form games with imperfect information, Counterfactual Regret Minimization (CFR) is a popular, iterative algorithm for computing approximate Nash equilibria. While the base algorithm performs a full tree traversal on each iteration,
Autor:
Neesha Desai, Duane Szafron
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8:130-135
Characters are vital to large video game worlds as they bring a sense of life to the world. However, background characters are known to rarely exhibit any sign of motivated behavior or emotional state. We want to change this by assigning these charac
Autor:
Kevin Schenk, Adel Lari, Matthew Church, Eric Graves, Jason Duncan, Robin Miller, Neesha Desai, Richard Zhao, Duane Szafron, Mike Carbonaro, Jonathan Schaeffer
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9:170-176
As the video game industry grows, both developers and creative authors seek new ways to simplify the process of controlling story content using scripts. This paper describes a story model and its software implementation, ScriptEase II, designed to so
Autor:
Richard Zhao, Duane Szafron
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10:94-101
Video game virtual characters should interact with the player, each other, and the environment. However, the cost of scripting complex behaviors becomes a bottleneck in content creation. Our goal is to help game designers to more easily populate thei
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 3:74-76
Character behaviors in computer role-playing games have a significant impact on game-play, but are often difficult for game authors to implement and adapt. We present a behavior model that requires no manual script writing. In this model, behaviors c
Autor:
Curtis Onuczko, Duane Szafron, Jonathan Schaeffer, Maria Cutumisu, Jeff Siegel, Kevin Waugh, Allan Schumacher
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2:147-148
Scripting the plot in a computer role-playing game requires a large number of scripts that are difficult to track and maintain. Game adventures often have simple plots, called sub- quests, that are independent from the main plot. Sub-quests are impor
Autor:
Maria Cutumisu, Duane Szafron, Jonathan Schaeffer, Kevin Waugh, Curtis Onuczko, Jeff Siegel, Allan Schumacher
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2:141-142
ScriptEase is a visual tool that enables game designers to create complex interactive stories for computer role-playing games, without programming. In particular, ScriptEase automatically generates the scripting code for ambient and PC-interactive no
Autor:
Maria Cutumisu, Duane Szafron, Jonathan Schaeffer, Kevin Waugh, Curtis Onuczko, Jeff Siegel, Allan Schumacher
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 3:106-107
This demonstration describes the generation of ambient and latent NPC behavior scripts using generative behavior patterns with ScriptEase. Our behavior model supports behavior roles, a powerful mechanism that allows an NPC to change behavior sets dur