Add to ORKGAbstract. This work considers Internet-based task computations in which a master process assigns tasks, over the Internet, to rational workers and collect their responses. The objective is for the master to obtain the correct task outcomes. For this purpose we formulate and study the dynamics of evolution of Internet-based master-worker computations through reinforcement learning
Natural intelligence and autonomous agents face difficulties when acting in information-dense envi-r...
Abstract: In this paper, a reinforcement learning approach based on the creation of affinity relatio...
A variety of Reinforcement Learning (RL) techniques blends with one or more techniques from Evolutio...
The proceeding at: 18th International Conference on Parallel and Distributed Computing, Euro-Par 201...
We consider Internet-based master-worker task computations, such as SETI@home, where a master proces...
Abstract. We consider Internet-based Master-Worker task computing systems, such as SETI@home, where ...
We consider Internet-based Master-Worker task computing systems, such as SETI@home, where a master s...
Thesis (Master) -- University of Cyprus, Faculty of Pure and Applied Sciences, Department of Compute...
We consider Internet-based master-worker computations, where a master processor assigns, across the ...
Algorithms for evolutionary computation, which simulate the process of natural selection to solve op...
Industrial automation calls for behavioral intelligence, that is, a mixture of flexibility, robustne...
A recent trend in evolutionary algorithms (EAs) transfers expertise from and to other areas of machi...
Imagine computer programs (agents) that learn to coordinate or to compete. This study investigates h...
: We discuss the co-evolutionary learning method, applied to human learning, as a means toward a med...
Rapid online adaptation to changing tasks is an important problem in machine learning and, recently,...
Natural intelligence and autonomous agents face difficulties when acting in information-dense envi-r...
Abstract: In this paper, a reinforcement learning approach based on the creation of affinity relatio...
A variety of Reinforcement Learning (RL) techniques blends with one or more techniques from Evolutio...
The proceeding at: 18th International Conference on Parallel and Distributed Computing, Euro-Par 201...
We consider Internet-based master-worker task computations, such as SETI@home, where a master proces...
Abstract. We consider Internet-based Master-Worker task computing systems, such as SETI@home, where ...
We consider Internet-based Master-Worker task computing systems, such as SETI@home, where a master s...
Thesis (Master) -- University of Cyprus, Faculty of Pure and Applied Sciences, Department of Compute...
We consider Internet-based master-worker computations, where a master processor assigns, across the ...
Algorithms for evolutionary computation, which simulate the process of natural selection to solve op...
Industrial automation calls for behavioral intelligence, that is, a mixture of flexibility, robustne...
A recent trend in evolutionary algorithms (EAs) transfers expertise from and to other areas of machi...
Imagine computer programs (agents) that learn to coordinate or to compete. This study investigates h...
: We discuss the co-evolutionary learning method, applied to human learning, as a means toward a med...
Rapid online adaptation to changing tasks is an important problem in machine learning and, recently,...
Natural intelligence and autonomous agents face difficulties when acting in information-dense envi-r...
Abstract: In this paper, a reinforcement learning approach based on the creation of affinity relatio...
A variety of Reinforcement Learning (RL) techniques blends with one or more techniques from Evolutio...