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AIPS
2000
15 years 1 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
107
Voted
AAAI
1994
15 years 1 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
74
Voted
VTC
2007
IEEE
15 years 6 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
15 years 2 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
15 years 5 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