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AAMAS
2002
Springer
15 years 6 months ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski
ATAL
2008
Springer
15 years 8 months ago
Discovering tactical behavior patterns supported by topological structures in soccer agent domains
Behaviors in soccer-agent domains can involve individual plays, several players involved in tactical plays or the whole team trying to follow strategies supported by specific form...
Fernando Ramos, Huberto Ayanegui
AO
2007
111views more  AO 2007»
15 years 6 months ago
Let's talk about our "being": A linguistic-based ontology framework for coordinating agents
Abstract. In open scenarios, agents willing to cooperate must impact the communication barrier between them and their unknown partners. If agents are not relying on any agreement a...
Maria Teresa Pazienza, Savino Sguera, Armando Stel...
DAGSTUHL
2003
15 years 8 months ago
Coordinating Agents in OO
In this paper we introduce an object-oriented coordination language for multi-agents systems. The beliefs and reasoning capabilities ent are specified in terms of a corresponding ...
Frank S. de Boer, Cees Pierik, Rogier M. van Eijk,...
AGENTS
2000
Springer
15 years 11 months ago
Dynamically altering agent behaviors using natural language instructions
Smart avatars are virtual human representations controlled by real people. Given instructions interactively, smart avatars can act as autonomous or reactive agents. During a real-...
Rama Bindiganavale, William Schuler, Jan M. Allbec...