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ATAL
2006
Springer
15 years 1 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»
15 years 1 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
87
Voted
CLEF
2008
Springer
14 years 11 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
66
Voted
ATAL
2010
Springer
14 years 10 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. ...
82
Voted
DAC
2008
ACM
15 years 10 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...