34 search results - page 3 / 7 » Learning Policies for Embodied Virtual Agents through Demons... |
KESAMSTA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowle...
AAAI
2007
13 years 7 months ago
2007
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
AI
1999
Springer
13 years 4 months ago
1999
Springer
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
ACCV
2010
Springer
12 years 12 months ago
2010
Springer
This work employs data mining algorithms to discover visual entities that are strongly associated to autonomously discovered modes of action, in an embodied agent. Mappings are lea...
ATAL
2010
Springer
13 years 6 months ago
2010
Springer
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...