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AGENTS
1999
Springer
14 years 1 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
MMB
1999
Springer
249views Communications» more  MMB 1999»
14 years 1 months ago
A Development Platform for the Design and Optimization of Mobile Radio Networks
The rapidly increasing traffic demand from mobile users forces network operators and service providers to extend and optimize existing networks as well as to plan entirely new mo...
Jürgen Deissner, Gerhard Fettweis, Jörg ...
AGENTS
1998
Springer
14 years 1 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ITS
1998
Springer
107views Multimedia» more  ITS 1998»
14 years 1 months ago
Toward a Unification of Human-Computer Learning and Tutoring
We define a learning tutor as being an intelligent agent that learns from human tutors and then tutors human learners. The notion of a learning tutor provides a conceptual framewor...
Henry Hamburger, Gheorghe Tecuci
SIGGRAPH
1992
ACM
14 years 1 months ago
Interactive inspection of solids: cross-sections and interferences
To reduce the cost of correcting design errors, assemblies of mechanical parts are modeled using CAD systems and verified electronically before the designs are sent to manufacturi...
Jarek Rossignac, Abe Megahed, Bengt-Olaf Schneider