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AGENTS
1999
Springer
13 years 11 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
TIDSE
2004
Springer
14 years 20 days ago
Learning from the Movie Industry: Adapting Production Processes for Storytelling in VR
Any movie production needs a whole group of contributing authors and creative artists from various fields. The same should obviously be true for the making of a compelling VR scena...
Richard Wages, Benno Grützmacher, Stefan Conr...
AAMAS
2005
Springer
14 years 26 days ago
Towards Time Management Adaptability in Multi-agent Systems
Abstract. So far, the main focus of research on adaptability in multiagent systems (MASs) has been on the agents’ behavior, for example on developing new learning techniques and ...
Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yo...
HIS
2008
13 years 8 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
ITS
2004
Springer
81views Multimedia» more  ITS 2004»
14 years 20 days ago
Towards Adaptive Generation of Faded Examples
Abstract. Faded examples have been investigated in pedagogical psychology. The experiments suggest that a learner can benefit from faded examples. For these experiments a few exam...
Erica Melis, Georgi Goguadze