Towards Robust Skill Generalization Unifying

June 3, 2026
Media Summary: Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning PhD thesis defense of Anil Yildiz. How can autonomous robots adapt to the unknown, make intelligent decisions, and stay safe in ... Sanmi Koyejo (Stanford University) Emerging ...

Towards Robust Skill Generalization Unifying - Detailed Analysis & Overview

Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning PhD thesis defense of Anil Yildiz. How can autonomous robots adapt to the unknown, make intelligent decisions, and stay safe in ... Sanmi Koyejo (Stanford University) Emerging ... In this AI Research Roundup episode, Alex discusses the paper: 'A Theory of Reproductions in Obstacle-free Environment ... Wen Sun (Cornell University) Quantifying Uncertainty: Stochastic, Adversarial, and ...

The quality of a machine learning model hinges on its ability to generalize: to make good predictions on never-before-seen data. Stefanos Nikolaidis is an Assistant Professor in computer science at the University of Southern California. This talk was given on ... Stefanie Jegelka, Professor at MIT, presents recent work on This video demonstrates a novel robot learning approach that enables a robot to learn new trajectory-based The Web Conference 2021 (WWW'21) pre-recorded presentation for our full paper: Professor Dietterich is Distinguished Professor (Emeritus) and Director of Intelligent Systems at Oregon State University.

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: October ... Nathan Srebro, TTI Chicago Representation Learning

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Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning
Robust policy generalization and risk quantification
Does generalization imply accuracy on the line? A new look at robust generalization
New Theory Explains Generalization and Grokking
Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments
Generalization and Robustness in Offline Reinforcement Learning
CLAMP - CoRL 2017 Talk
Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning (May 2026)
Machine Learning Crash Course: Generalization
Stanford Seminar - Towards Robust Human-Robot Interaction: A Quality Diversity Approach
Robust Learning via Robust Optimization - Stefanie Jegelka
Learning Robust and Generalizable Interaction Skills from Sparse and Noisy Demonstrations

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Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning

Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning

Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning

Robust policy generalization and risk quantification

Robust policy generalization and risk quantification

PhD thesis defense of Anil Yildiz. How can autonomous robots adapt to the unknown, make intelligent decisions, and stay safe in ...

Sponsored
Does generalization imply accuracy on the line? A new look at robust generalization

Does generalization imply accuracy on the line? A new look at robust generalization

Sanmi Koyejo (Stanford University) https://simons.berkeley.edu/talks/sanmi-koyejo-stanford-university-2024-09-11 Emerging ...

New Theory Explains Generalization and Grokking

New Theory Explains Generalization and Grokking

In this AI Research Roundup episode, Alex discusses the paper: 'A Theory of

Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments

Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments

Reproductions in Obstacle-free Environment ...

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Generalization and Robustness in Offline Reinforcement Learning

Generalization and Robustness in Offline Reinforcement Learning

Wen Sun (Cornell University) https://simons.berkeley.edu/talks/tbd-486 Quantifying Uncertainty: Stochastic, Adversarial, and ...

CLAMP - CoRL 2017 Talk

CLAMP - CoRL 2017 Talk

In this video Asif Rana presents, '

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning (May 2026)

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning (May 2026)

Title: Skill1:

Machine Learning Crash Course: Generalization

Machine Learning Crash Course: Generalization

The quality of a machine learning model hinges on its ability to generalize: to make good predictions on never-before-seen data.

Stanford Seminar - Towards Robust Human-Robot Interaction: A Quality Diversity Approach

Stanford Seminar - Towards Robust Human-Robot Interaction: A Quality Diversity Approach

Stefanos Nikolaidis is an Assistant Professor in computer science at the University of Southern California. This talk was given on ...

Robust Learning via Robust Optimization - Stefanie Jegelka

Robust Learning via Robust Optimization - Stefanie Jegelka

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Learning Robust and Generalizable Interaction Skills from Sparse and Noisy Demonstrations

Learning Robust and Generalizable Interaction Skills from Sparse and Noisy Demonstrations

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Generalized Cylinders for Learning, Reproduction, Generalization, and Refinement of Robot Skills

Generalized Cylinders for Learning, Reproduction, Generalization, and Refinement of Robot Skills

This video demonstrates a novel robot learning approach that enables a robot to learn new trajectory-based

Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank - WWW 2021

Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank - WWW 2021

The Web Conference 2021 (WWW'21) pre-recorded presentation for our full paper:

Steps Toward Robust Artificial Intelligence: Thomas G Dietterich, Oregon State University

Steps Toward Robust Artificial Intelligence: Thomas G Dietterich, Oregon State University

Professor Dietterich is Distinguished Professor (Emeritus) and Director of Intelligent Systems at Oregon State University.

Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models

Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai October ...

Geometry, Optimization and Generalization in Multilayer Networks

Geometry, Optimization and Generalization in Multilayer Networks

Nathan Srebro, TTI Chicago Representation Learning https://simons.berkeley.edu/talks/nathan-srebro-bartom-2017-3-27.

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