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» Learning Character Behaviors Using Agent Modeling in Games
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CHI
2010
ACM
15 years 16 days ago
Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor
Teaching is inherently a social interaction between teacher and student. Despite this knowledge, many educational tools, such as vocabulary training programs, still model the inte...
Martin Saerbeck, Tom Schut, Christoph Bartneck, Ma...
AAAI
2006
15 years 5 months ago
Multimodal Cognitive Architecture: Making Perception More Central to Intelligent Behavior
I propose that the notion of cognitive state be broadened from the current predicate-symbolic, Language-of-Thought framework to a multi-modal one, where perception and kinesthetic...
B. Chandrasekaran
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
15 years 2 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone
AAAI
2007
15 years 6 months ago
The More the Merrier: Multi-Party Negotiation with Virtual Humans
The goal of the Virtual Humans Project at the University of Southern California’s Institute for Creative Technologies is to enrich virtual training environments with virtual hum...
Patrick G. Kenny, Arno Hartholt, Jonathan Gratch, ...
ATAL
2008
Springer
15 years 5 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...