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ATAL
2006
Springer
13 years 11 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
CLEF
2008
Springer
13 years 9 months ago
The Xtrieval Framework at CLEF 2008: Domain-Specific Track
This article describes our participation at the Domain-Specific track. We used the Xtrieval framework [2], [3] for the preparation and execution of the experiments. The translatio...
Jens Kürsten, Thomas Wilhelm, Maximilian Eibl
ATAL
2010
Springer
13 years 8 months ago
Exploiting domain knowledge to improve norm synthesis
Social norms enable coordination in multiagent systems by constraining agent behaviour in order to achieve a social objective. Automating the design of social norms has been shown...
George Christelis, Michael Rovatsos, Ronald P. A. ...
DAC
2008
ACM
14 years 8 months ago
Variation-adaptive feedback control for networks-on-chip with multiple clock domains
This paper discusses the use of networks-on-chip (NoCs) consisting of multiple voltage-frequency islands to cope with power consumption, clock distribution and parameter variation...
Ümit Y. Ogras, Diana Marculescu, Radu Marcule...