Media Summary: Published as a conference paper in ICLR 2020 Paper link: Please leave any message or ... Lecturer: Marc Deisenroth In many high-impact areas of machine learning, we face the challenge of dataefficient learning, i.e., ... Abstract: The phenomenal success of deep learning in the past decade has been mostly driven by the construction of increasingly ...

Pan Xu Data Efficient Optimization - Detailed Analysis & Overview

Published as a conference paper in ICLR 2020 Paper link: Please leave any message or ... Lecturer: Marc Deisenroth In many high-impact areas of machine learning, we face the challenge of dataefficient learning, i.e., ... Abstract: The phenomenal success of deep learning in the past decade has been mostly driven by the construction of increasingly ... Xian Carrie Wu (Simons Institute) Meet the Fellows Welcome Event. Authors: Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine Presented for the class CS885 Reinforcement Learning taught ... Fall 2025: Advanced Modeling and Simulation for Building and Community Energy Systems - Lecture Series at the Penn State ...

Reinforcement Learning has conquered many problems in the lab, but traditional approaches have needed massive datasets to ... "Algorithmic decision making and participation for biodiversity conservation" with Lily What Satisfies A Machine Learning Engineer Title: On the optimal shape parameter for kernel methods and beyond Abstract: The search for the optimal shape parameter for ...

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Pan Xu - Data Efficient Optimization in Reinforcement Learning
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction
Jason Xu | Improving k means clustering via simple iterative optimization | CGSI 2024
2021 3.3 Data efficient Optimization with Bayesian Optimization - Roberto Calandra
Bayesian Optimization
DDLC Seminars - Prof. Andreas Krause
Data-Efficient Machine Learning for Autonomous Robots
Resource-efficient Deep Learning: Democratizing AI at Scale- Dongkuan (DK) Xu
Jason Xu | Eliciting simple and transparent algorithms for statistical learning via ...| CGSI 2025
Data Efficient Methods for Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Modeling and Optimization for Data Center Cooling Systems by Xu Han
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Pan Xu - Data Efficient Optimization in Reinforcement Learning

Pan Xu - Data Efficient Optimization in Reinforcement Learning

Pan Xu

Sample Efficient Policy Gradient Methods with Recursive Variance Reduction

Sample Efficient Policy Gradient Methods with Recursive Variance Reduction

Published as a conference paper in ICLR 2020 Paper link: https://arxiv.org/pdf/1909.08610.pdf Please leave any message or ...

Sponsored
Jason Xu | Improving k means clustering via simple iterative optimization | CGSI 2024

Jason Xu | Improving k means clustering via simple iterative optimization | CGSI 2024

Jason

2021 3.3 Data efficient Optimization with Bayesian Optimization - Roberto Calandra

2021 3.3 Data efficient Optimization with Bayesian Optimization - Roberto Calandra

... bayesian

Bayesian Optimization

Bayesian Optimization

In this video, we explore Bayesian

Sponsored
DDLC Seminars - Prof. Andreas Krause

DDLC Seminars - Prof. Andreas Krause

Title: Safe and

Data-Efficient Machine Learning for Autonomous Robots

Data-Efficient Machine Learning for Autonomous Robots

Lecturer: Marc Deisenroth In many high-impact areas of machine learning, we face the challenge of dataefficient learning, i.e., ...

Resource-efficient Deep Learning: Democratizing AI at Scale- Dongkuan (DK) Xu

Resource-efficient Deep Learning: Democratizing AI at Scale- Dongkuan (DK) Xu

Abstract: The phenomenal success of deep learning in the past decade has been mostly driven by the construction of increasingly ...

Jason Xu | Eliciting simple and transparent algorithms for statistical learning via ...| CGSI 2025

Jason Xu | Eliciting simple and transparent algorithms for statistical learning via ...| CGSI 2025

Jason

Data Efficient Methods for Reinforcement Learning

Data Efficient Methods for Reinforcement Learning

Xian Carrie Wu (Simons Institute) Meet the Fellows Welcome Event.

Data-Efficient Hierarchical Reinforcement Learning

Data-Efficient Hierarchical Reinforcement Learning

Authors: Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine Presented for the class CS885 Reinforcement Learning taught ...

Modeling and Optimization for Data Center Cooling Systems by Xu Han

Modeling and Optimization for Data Center Cooling Systems by Xu Han

Fall 2025: Advanced Modeling and Simulation for Building and Community Energy Systems - Lecture Series at the Penn State ...

data efficient reinforcement learning

data efficient reinforcement learning

Reinforcement Learning has conquered many problems in the lab, but traditional approaches have needed massive datasets to ...

Algorithmic decision making and participation for biodiversity conservation

Algorithmic decision making and participation for biodiversity conservation

"Algorithmic decision making and participation for biodiversity conservation" with Lily

Ruoqian Xu: Digitized Counteradiabatic Quantum Approximate Optimization Algorithms (DC-QAOA)

Ruoqian Xu: Digitized Counteradiabatic Quantum Approximate Optimization Algorithms (DC-QAOA)

Speaker: Ruoqian

What Satisfies A Machine Learning Engineer Optimizing Datasets? - AI and Machine Learning Explained

What Satisfies A Machine Learning Engineer Optimizing Datasets? - AI and Machine Learning Explained

What Satisfies A Machine Learning Engineer

Tizian Wenzel: On the optimal shape parameter for kernel methods and beyond

Tizian Wenzel: On the optimal shape parameter for kernel methods and beyond

Title: On the optimal shape parameter for kernel methods and beyond Abstract: The search for the optimal shape parameter for ...

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