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...
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...
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...
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...
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 ...