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» Optimal Regression for Reasoning about Knowledge and Actions
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ALT
2011
Springer
13 years 9 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
AMET
1998
Springer
15 years 1 months ago
Bidding Strategies for Trading Agents in Auction-Based Tournaments
Abstract. Auction-based electronic commerce is an increasingly interesting domain for AI researchers. In this paper we present an attempt towards the construction of trading agents...
Pere Garcia, Eduardo Giménez, Lluis Godo, J...
WSC
2007
15 years 1 days ago
Simulation metamodels for modeling output distribution parameters
Metamodels are functions with calibrated parameters, used actions and simplifications of the simulation model. A metamodel exposes the system’s input-output relationship and ca...
Isabel R. Santos, Pedro R. Santos
ICML
2010
IEEE
14 years 10 months ago
Toward Off-Policy Learning Control with Function Approximation
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
Hamid Reza Maei, Csaba Szepesvári, Shalabh ...
DALT
2005
Springer
15 years 3 months ago
Complete Axiomatizations of Finite Syntactic Epistemic States
An agent who bases his actions upon explicit logical formulae has at any given point in time a finite set of formulae he has computed. Closure or consistency conditions on this se...
Thomas Ågotnes, Michal Walicki