activity
20102026
most citedThe Challenge of Believability in Video Games: Definitions, Agents Models and Imitation Learning

24 citations · 69 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.AI2022

Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions

Maëlic Neau, Paulo Santos, Anne-Gwenn Bosser +2

Human-Robot Interaction (HRI) is an emerging subfield of service robotics. While most existing approaches rely on explicit signals (i.e. voice, gesture) to engage, current literatu…

cs.AI2020★ 21 cited

Hierarchical Affordance Discovery using Intrinsic Motivation

Alexandre Manoury, Sao Mai Nguyen, Cédric Buche

To be capable of lifelong learning in a real-life environment, robots have to tackle multiple challenges. Being able to relate physical properties they may observe in their environ…

cs.AI2010

Learning a Representation of a Believable Virtual Character's Environment with an Imitation Algorithm

Fabien Tencé, Cédric Buche, Pierre De Loor +1

In video games, virtual characters' decision systems often use a simplified representation of the world. To increase both their autonomy and believability we want those characters…

cs.AI2010

Automatable Evaluation Method Oriented toward Behaviour Believability for Video Games

Fabien Tencé, Cédric Buche

Classic evaluation methods of believable agents are time-consuming because they involve many human to judge agents. They are well suited to validate work on new believable behaviou…

cs.AI2010★ 24 cited

The Challenge of Believability in Video Games: Definitions, Agents Models and Imitation Learning

Fabien Tencé, Cédric Buche, Pierre De Loor +1

In this paper, we address the problem of creating believable agents (virtual characters) in video games. We consider only one meaning of believability, ``giving the feeling of bein…