Add to ORKG[[sponsorship]]IEEE Computer Society; Asia University[[conferencetype]]國際[[conferencedate]]20060605~20060607[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]臺中, 臺
This paper explores human behavior in virtual networked communities, specifically individuals or gro...
Virtual environments, also known as virtual worlds, are computer simulated spaces which enable playe...
Reinforcement learning and inverse reinforcement learning can be used to model and understand human ...
[[abstract]]In this paper, a novel method for personal intelligent behavior avatar (IBA) is proposed...
Abstract — We present a self-organizing neural model for creating intelligent learning agents in vir...
The largest project at the AICG lab at Linköping University, Cognitive models for virtual characters...
Dataset for the paper Adapting Virtual Embodiment through Reinforcement Learning
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncerta...
Although a standard reinforcement learning model can capture many aspects of reward-seeking behavior...
A Reinforcement Learning (RL) method was used to train a virtual character to move participants to a...
This paper introduces a framework for `curious neural controllers' which employ an adaptive wor...
Our research focuses on the behavioral animation of virtual humans who are capable of taking actions...
Although a standard reinforcement learning model can capture many aspects of reward-seeking behavior...
In this paper, we propose a reinforcement learning (RL) mechanism for social robots to select an act...
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over t...
This paper explores human behavior in virtual networked communities, specifically individuals or gro...
Virtual environments, also known as virtual worlds, are computer simulated spaces which enable playe...
Reinforcement learning and inverse reinforcement learning can be used to model and understand human ...
[[abstract]]In this paper, a novel method for personal intelligent behavior avatar (IBA) is proposed...
Abstract — We present a self-organizing neural model for creating intelligent learning agents in vir...
The largest project at the AICG lab at Linköping University, Cognitive models for virtual characters...
Dataset for the paper Adapting Virtual Embodiment through Reinforcement Learning
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncerta...
Although a standard reinforcement learning model can capture many aspects of reward-seeking behavior...
A Reinforcement Learning (RL) method was used to train a virtual character to move participants to a...
This paper introduces a framework for `curious neural controllers' which employ an adaptive wor...
Our research focuses on the behavioral animation of virtual humans who are capable of taking actions...
Although a standard reinforcement learning model can capture many aspects of reward-seeking behavior...
In this paper, we propose a reinforcement learning (RL) mechanism for social robots to select an act...
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over t...
This paper explores human behavior in virtual networked communities, specifically individuals or gro...
Virtual environments, also known as virtual worlds, are computer simulated spaces which enable playe...
Reinforcement learning and inverse reinforcement learning can be used to model and understand human ...