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» The Computational Complexity of Agent Design Problems
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AAAI
2006
15 years 5 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 5 months ago
Supply chain management sales using XCSR
The Trading Agent Competition in its category Supply Chain Management (TAC SCM) is an international forum where teams construct agents that control a computer assembly company in ...
María A. Franco, Ivette C. Martínez,...
GLVLSI
2007
IEEE
158views VLSI» more  GLVLSI 2007»
15 years 10 months ago
Design of a versatile and cost-effective hybrid floating-point/LNS arithmetic processor
LNS (logarithmic number system) arithmetic has the advantages of high-precision and high performance in complex function computation. However, the large hardware problem in LNS ad...
Chichyang Chen, Paul Chow
ATAL
2007
Springer
15 years 10 months ago
Diagnosis of plan step errors and plan structure violations
Failures in plan execution can be attributed to errors in the execution of plan steps or violations of the plan structure. The structure of a plan prescribes which actions have to...
Cees Witteveen, Nico Roos, Adriaan ter Mors, Xiaoy...
ATAL
2006
Springer
15 years 7 months ago
Learning to identify winning coalitions in the PAC model
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
Ariel D. Procaccia, Jeffrey S. Rosenschein