Sciweavers

108 search results - page 13 / 22
» Agents that Learn to Explain Themselves
Sort
View
ACMIDC
2010
14 years 11 months ago
A collaborative approach to the design and evaluation of an interactive learning tool for children with special educational need
We have developed an educational software tool (Aprendiendo) to reinforce the learning process of children with special educational needs. This tool makes use of a variety of inte...
Beatriz López-Mencía, David Dí...

Publication
233views
13 years 8 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
ATAL
2007
Springer
15 years 3 months ago
Advice taking in multiagent reinforcement learning
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
Michael Rovatsos, Alexandros Belesiotis
AAI
2005
93views more  AAI 2005»
14 years 9 months ago
Learning By Feeling: Evoking Empathy With Synthetic Characters
Virtual environments are now becoming a promising new technology to be used in the development of interactive learning environments for children. Perhaps triggered by the success ...
Ana Paiva, João Dias, Daniel Sobral, Ruth A...
82
Voted
CIG
2005
IEEE
15 years 3 months ago
Adapting Reinforcement Learning for Computer Games: Using Group Utility Functions
AbstractGroup utility functions are an extension of the common team utility function for providing multiple agents with a common reinforcement learning signal for learning cooperat...
Jay Bradley, Gillian Hayes