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AIPS
2000
13 years 9 months ago
Exploiting State Constraints in Heuristic State-Space Planning
In the last years, some very promising domain independent heuristic state-space planners for STRIPS worlds, like ASP/HSP, HSPr and GRT, have been presented. These planners achieve...
Ioannis Refanidis, Ioannis P. Vlahavas
AAAI
1994
13 years 9 months ago
Control Strategies for a Stochastic Planner
We present new algorithms for local planning over Markov decision processes. The base-level algorithm possesses several interesting features for control of computation, based on s...
Jonathan Tash, Stuart J. Russell
VTC
2007
IEEE
14 years 2 months ago
Sounding Method for Proportional Fair Scheduling in OFDMA/FDD Uplink
- Sounding provides a BS with knowledge of the channel state information of a user in an orthogonal frequency division multiple access (OFDMA) full duplex division (FDD) uplink. In...
Jung Min Choi, Hyojin Lee, Hyun Kyu Chung, Jae Hon...
AAAI
2008
13 years 10 months ago
Potential-based Shaping in Model-based Reinforcement Learning
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
John Asmuth, Michael L. Littman, Robert Zinkov
ATAL
2005
Springer
14 years 2 months ago
Comparative analysis of top-down and bottom-up methodologies for multi-agent system design
Traditionally, top-down and bottom-up design approaches have competed with each other in Algorithmics and Software Engineering. In the top-down approach, design process starts wit...
Valentino Crespi, Aram Galstyan, Kristina Lerman