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IJCAI
2003
15 years 8 months ago
Covariant Policy Search
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
J. Andrew Bagnell, Jeff G. Schneider
TSMC
2002
98views more  TSMC 2002»
15 years 6 months ago
The STAR automaton: expediency and optimality properties
Abstract--We present the STack ARchitecture (STAR) automaton. It is a fixed structure, multiaction, reward-penalty learning automaton, characterized by a star-shaped state transiti...
Anastasios A. Economides, Athanasios Kehagias
CVPR
2012
IEEE
13 years 9 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...
AAAI
1998
15 years 8 months ago
What Is Wrong With Us? Improving Robustness Through Social Diagnosis
1 Robust behavior in complex, dynamic environments mandates that intelligent agents autonomously monitor their own run-time behavior, detect and diagnose failures, and attempt reco...
Gal A. Kaminka, Milind Tambe
SOQUA
2007
15 years 8 months ago
Designing multi-layers self-adaptive complex applications
The impossibility of statically determining the behavior of complex systems that interact at runtime with heterogeneous devices and remote entities, may lead to unexpected system ...
Davide Lorenzoli, Davide Tosi, Salvatore Venticinq...