Monte Carlo
أساليب محاكاة مونت كارلو
أساليب حسابية تعتمد على التكرار المكثف لعمليات المعاينة العشوائية لحل مسائل رياضية معقدة بالتقريب الإحصائي.
Monte Carlo
Also translated asالمحاكاة القائمة على العينات العشوائية المتكررة، الحساب الاحتمالي التجريبي التقريبي، مونت كارلو
First appears in this corpus in: Extension of the Law of Large Numbers to Dependent Quantities (1906)
Appears in these papers
- Asynchronous Methods for Deep Reinforcement Learning2016in the sky ✦
- Mastering the Game of Go with Deep Neural Networks and Tree Search2016in the sky ✦
- Practical Bayesian Optimization of Machine Learning Algorithms2012in the sky ✦
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020in the sky ✦
- High-Dimensional Continuous Control Using Generalized Advantage Estimation2016in the sky ✦
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images1984in the sky ✦
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images1984in the sky ✦
- Extension of the Law of Large Numbers to Dependent Quantities1906in the sky ✦
- Extension of the Law of Large Numbers to Dependent Quantities1906in the sky ✦
- Equation of State Calculations by Fast Computing Machines1953in the sky ✦
- Equation of State Calculations by Fast Computing Machines1953in the sky ✦
- The Monte Carlo Method1949in the sky ✦
- The Monte Carlo Method1949in the sky ✦
- Policy Gradient Methods for Reinforcement Learning with Function Approximation1999in the sky ✦
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning1992in the sky ✦
- Temporal Difference Learning and TD-Gammon1995in the sky ✦
- Learning to Predict by the Methods of Temporal Differences1988in the sky ✦