Aligning AI models for large-scale decision-making:Some of the hardest problems in the world involve decision-making in large action spaces, such as in healthcare, robotics, information dissemination, and recommendations. Here we envision a new paradigm of dealing with missing data in decision-maki...
homosexual and heterosexual males. Female homosexuals were also more likely than male homosexuals to experience lack of orgasm and pain during intercourse. Being bothered by SP was associated with erectile dysfunction among homosexual men and lubrication problems and lack of pleasure among the homosexual...
To solve Markov decision problems with continuous state space and discrete action space, neural networks are commonly used as value function approximators... XU Xin - 《Chinese Journal of Computers》 被引量: 27发表: 2003年 A reinforcement learning algorithm for neural networks with incremental learni...
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems. agentdockerfinancesimulatorreinforcement-learningtransportationmulti-agentraasinventory-managementlogisticsoperations-researchrl-algorithmsciti-bikemulti-agent...
The analysis identified five research topics in the Prisoner’s Dilemma which have been relevant over the course of time. These are human subject research, biological studies, strategies, evolutionary dynamics on networks and modeling problems as a Prisoner’s Dilemma game. Moreover, the results ...
The lack of effective understanding of the pain mechanism of McCune–Albright syndrome (MAS) has made the treatment of pain in this disease a difficult clinical challenge, and new therapeutic targets are urgently needed to address this dilemma. This pape
One of the principal problems of online help is the mismatch between the specialized knowledge and technical vocabulary of experts who are providing the he... H Lieberman,A Kumar - ACM 被引量: 23发表: 2005年 Uniting Active and Deep Learning to Teach Problem-Solving Skills. This article descri...
“intended” functionality of code is hard to infer by traditional analysis, but language models can a) use comments/documentation, and b) use semantic properties of the code itself. This paper attempts to evaluate language models to solve both of the above problems in a single pass. The ...
existing RL methods are not yet robust enough to handle exogenous noise. While they may be able to heuristically solve certain problems, such as helping a robot navigate to a specific destination in a particular environment, there is no guarantee that they can solve problems in environments the...
In this study, we evaluated the reporting problems of GRS as an instrumental variable in MR studies. Overall, consistent with previous studies [1, 2], we found that many studies did not report an adequate amount of information. Which lead to the problem of determining if the authors’ infere...