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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
ICAISC
2010
Springer
15 years 8 months ago
CI in General Game Playing - To Date Achievements and Perspectives
Abstract. Multigame playing agents are programs capable of autonomously learning to play new, previously unknown games. In this paper, we concentrate on the General Game Playing Co...
Karol Waledzik, Jacek Mandziuk
ATAL
2009
Springer
16 years 23 days ago
A self-organizing neural network architecture for intentional planning agents
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Budhitama Subagdja, Ah-Hwee Tan
AAMAS
1999
Springer
15 years 5 months ago
Fully Embodied Conversational Avatars: Making Communicative Behaviors Autonomous
: Although avatars may resemble communicative interface agents, they have for the most part not profited from recent research into autonomous embodied conversational systems. In pa...
Justine Cassell, Hannes Högni Vilhjálm...
AGENTS
1997
Springer
15 years 10 months ago
Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment
Recent developments in philosophy, linguistics, developmental psychology and arti cial intelligence make it possible to envision a developmental path for an arti cial agent, groun...
Paul R. Cohen, Marc S. Atkin, Tim Oates, Carole R....