Results 31 to 40 of about 2,229,434 (295)
Robot Skill Learning: From Reinforcement Learning to Evolution Strategies
Policy improvement methods seek to optimize the parameters of a policy with respect to a utility function. Owing to current trends involving searching in parameter space (rather than action space) and using reward-weighted averaging (rather than gradient
Stulp Freek, Sigaud Olivier
doaj +1 more source
This paper describes the application of evolution strategies to the design of interacting multiple model (IMM) tracking filters in order to fulfill a large table of performance specifications.
Portas Juan A Besada +5 more
doaj +1 more source
A merit function approach for evolution strategies
In this paper, we extend a class of globally convergent evolution strategies to handle general constrained optimization problems. The proposed framework handles quantifiable relaxable constraints using a merit function approach combined with a specific ...
Youssef Diouane
doaj +1 more source
Computational evolution of decision-making strategies [PDF]
Most research on adaptive decision-making takes a strategy-first approach, proposing a method of solving a problem and then examining whether it can be implemented in the brain and in what environments it succeeds.
Cesario, Joseph +4 more
core +1 more source
Synthetic Gene Circuits: Design with Directed Evolution [PDF]
Synthetic circuits offer great promise for generating insights into nature's underlying design principles or forward engineering novel biotechnology applications. However, construction of these circuits is not straightforward.
Arnold, Frances H., Haseltine, Eric L.
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ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Composite ontology change operators and their customizable evolution strategies [PDF]
Change operators are the building blocks of ontology evolution. Elementary, composite and complex change operators have been suggested. While lower-level change operators are useful in terms of finegranular representation of ontology changes ...
Abgaz, Yalemisew +2 more
core
Strategy evolution on dynamic networks
Models of strategy evolution on static networks help us understand how population structure can promote the spread of traits like cooperation. One key mechanism is the formation of altruistic spatial clusters, where neighbors of a cooperative individual are likely to reciprocate, which protects prosocial traits from exploitation.
Qi Su, Alex McAvoy, Joshua B. Plotkin
openaire +3 more sources
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source
Assembling strategies in extrinsic evolvable hardware with bi-directional incremental evolution [PDF]
Bidirectional incremental evolution (BIE) has been proposed as a technique to overcome the ”stalling” effect in evolvable hardware applications. However preliminary results show perceptible dependence of performance of BIE and quality of evaluated ...
F. Gomez +6 more
core +2 more sources

