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ILP
2000
Springer
15 years 10 months ago
Using ILP to Improve Planning in Hierarchical Reinforcement Learning
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
Mark D. Reid, Malcolm R. K. Ryan
RAS
2010
164views more  RAS 2010»
15 years 5 months ago
Towards performing everyday manipulation activities
This article investigates fundamental issues in scaling autonomous personal robots towards open-ended sets of everyday manipulation tasks which involve high complexity and vague j...
Michael Beetz, Dominik Jain, Lorenz Mösenlech...
FLAIRS
2007
15 years 9 months ago
Dynamic DDN Construction for Lightweight Planning Architectures
POMDPs are a popular framework for representing decision making problems that contain uncertainty. The high computational complexity of finding exact solutions to POMDPs has spaw...
William H. Turkett
LPNMR
2004
Springer
16 years 13 days ago
Planning with Preferences Using Logic Programming
Abstract. We present a declarative language, PP, for the specification of preferences between possible solutions (or trajectories) of a planning problem. This novel language allow...
Tran Cao Son, Enrico Pontelli
ISCAS
2003
IEEE
113views Hardware» more  ISCAS 2003»
16 years 11 days ago
Tile-graph-based power planning
In this paper, we introduce a tile-graph-based approach to power planning. For a given flooplan solution, the power inputs are modeled into a tile graph, the minimum capacity of e...
Jyh Perng Fang, Sao Jie Chen