Sentence examples for observable environments from inspiring English sources

Future work includes the implementation of QA-learning in single goal hierarchical systems, the automatic identification of subsystems, the reusability of sub-solutions in QA-learning, and the applicability of QA-learning in partially observable environments.

In this work, we have shown a novel approach in teaching a robot to act in a partially observable environment.

All physical systems must reliably extract information from their noisy and partially observable environment and build an internal representation of space to orient their behaviour.

In addition, we analyze the learning process to elucidate the mechanism by which the LS-Q adaptively learns under the partially observable environment.

So far, very little attention has been paid to the dual but competing task of frequency band selection in CR and RFEH modes under partially observable environment in the decentralized wireless networks.

This enables the robot to function well in semi- or even non-observable environments.

This paper proposes a new and robust approach for actively learning a predictive model of discrete, stochastic, partially-observable environments based on a concept called the Stochastic Distinguishing Experiment (SDE).

There is an ever-increasing need for autonomous robots that are capable of adapting to and operating in challenging partially-observable and stochastic environments.

This is the case in particular for the description or quantification of the specific/relative contributions of chemical plant protection to adverse impacts or general trends observable in the environment, e.g., effects on water organisms of pollution with both PPP residues and nutrients.

Nonlinearities are present on the behavior of the GSM-R and UMTS observable because of the environment influences (signal shadowing, No Line of Sight (NLoS),) and propagation laws.

The proposed approach provides fault injection capabilities supporting automatic modification of post-synthesis net-lists and introduces a highly controllable and observable transient fault analysis environment.