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ATAL
2008
Springer
13 years 11 months ago
Expediting RL by using graphical structures
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
Peng Dai, Alexander L. Strehl, Judy Goldsmith
ATAL
2008
Springer
13 years 11 months ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
ATAL
2008
Springer
13 years 11 months ago
Decentralized coordination of automated guided vehicles
This paper approaches the issue of coordination of highly autonomous Automated Guided Vehicles (AGVs) working on an automated factory. These vehicles are used for goods delivery t...
David Herrero Pérez, Humberto Martín...
ATAL
2008
Springer
13 years 10 months ago
A preliminary result on a representative-based multi-round protocol for multi-issue negotiations
Multi-issue negotiation protocols represent a promising field since most negotiation problems in the real world involve multiple issues. Our work focuses on negotiation with inte...
Katsuhide Fujita, Takayuki Ito, Mark Klein
ATAL
2008
Springer
13 years 11 months ago
Politeness and alignment in dialogues with a virtual guide
Language alignment is something that happens automatically in dialogues between human speakers. The ability to align is expected to increase the believability of virtual dialogue ...
Markus de Jong, Mariët Theune, Dennis Hofs