The current version of Personalizer uses contextual bandits, an approach to reinforcement learning that is framed around making decisions or choices between discrete actions, in a given context.The decision memory, the model that has been trained to capture the best possible decision, given a ...
上海自贸试验区将进入新一轮建设，到2020年的目标已经明确，关键是要与国际投资和贸易通行规则相衔接，加快健全[u] [/u][u][/u]；最终是要瞄准国际最高标准、最好水平的自贸试验区，率先形成法治化、国际化、便利化的营商环境和公平、统一、高效的市场环境。
In this project we explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and dividing the Go board into many local shapes and learning realtive importance and weights of these shapes. This strategy has proved effective in game playing...
reinforcement learning (CMADRL) based framework to minimize the total system cost in terms of the energy consumption of IoT device and the renting charge of cloud servers. Each IoT device acts as an agent, which not only learns efficient decentralized policies, but also relieves IoT devices’ co...
We also show that our approach is both highly transferable across different datasets and adaptable to changes in individual learning model performance.doi:10.1016/j.inffus.2021.07.011Yoni BirmanShaked HindiGilad KatzAsaf ShabtaiInformation Fusion
Cost-Effective Malware Detection as a Service Over Serverless Cloud Using Deep Reinforcement Learning 来自 IEEEXplore 喜欢 0 阅读量: 56 作者:Y Birman,S Hindi,G Katz,A Shabtai 摘要: The current trends of cloud computing in general, and serverless computing in particular, affect multiple aspects ...
The RL framework is used for analyzing the required consumed resources and processing time corresponding to the cost function and selecting the optimal combinations of modules to implement the policy.ASAF SHABTAIGILAD KATZYONI BIRMANSHAKED HINDI
In general, it can be stated that deep reinforcement learning (DRL) has been the most popular in autonomous vehicle control [25]. The main reason is that a discrete agent operating in a continuous environment performs the task insufficiently or in too piecemeal of a fashion in theory, usually...
Positive reinforcement training is the preferred form of training in zoos because it gives the animal choice and control over its environment by actively learning the contingency between its action and the reaction of the environment. On the other hand, the animal voluntarily cooperates in positive ...
In addition, we provide a novel multi-indicator experience replay for multi-objective deep reinforcement learning, which significantly speeds up learning compared to conventional approaches. By modeling various indications in the body of the patient, our approach is used to simulate the treatment of ...