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108
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NIPS
1997
15 years 5 months ago
Reinforcement Learning with Hierarchies of Machines
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Ronald Parr, Stuart J. Russell
103
Voted
VMV
2000
122views Visualization» more  VMV 2000»
15 years 5 months ago
Building a Photo Studio for Measurement Purposes
A digital photo studio was built to generate high quality real world input data for various imagebased rendering and vision algorithms. Special attention was paid to carefully con...
Michael Goesele, Wolfgang Heidrich, Hendrik P. A. ...
117
Voted
ATAL
2010
Springer
15 years 4 months ago
TacTex09: a champion bidding agent for ad auctions
In the Trading Agent Competition Ad Auctions Game, agents compete to sell products by bidding to have their ads shown in a search engine's sponsored search results. We report...
David Pardoe, Doran Chakraborty, Peter Stone
125
Voted
ATAL
2010
Springer
15 years 4 months ago
Merging example plans into generalized plans for non-deterministic environments
We present a new approach for finding generalized contingent plans with loops and branches in situations where there is uncertainty in state properties and object quantities, but ...
Siddharth Srivastava, Neil Immerman, Shlomo Zilber...
132
Voted
CIIA
2009
15 years 4 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali