Stefan Schaal
17 papers · 2008–2024 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Champion
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(85)
Top co-authors
Research topics
Reinforcement Learning
(11)
Artificial Intelligence
(10)
Machine Learning
(10)
Applications
(8)
Robotics
(7)
Core AI
(7)
Methods
(7)
Capabilities
(5)
Core Methods
(5)
Learning Types
(5)
Learning Paradigms
(4)
Deep Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Optimization & Theory
(3)
Keywords
imitation learning
(6)
gaussian process
(3)
variational inference
(3)
policy search
(2)
model-based reinforcement learning
(2)
reinforcement learning
(2)
trajectory rollout
(2)
policy improvement
(2)
locally weighted regression
(2)
function approximation
(2)
robot learning
(2)
nonparametric regression
(2)
dexterous manipulation
(2)
online decision making
(1)
incremental learning
(1)
expectation maximization
(1)
supervised learning
(1)
bayesian learning
(1)
time series
(1)
gaussian processes
(1)
Papers
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
CoRL 2024
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
ICLR 2022
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
RSS 2022
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
RSS 2021
Probabilistic Recurrent State-Space Models
ICML 2018
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
ICML 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
NeurIPS 2017
Optimizing Long-term Predictions for Model-based Policy Search
CoRL 2017
A New Perspective and Extension of the Gaussian Filter
RSS 2015
Data-Driven Online Decision Making for Autonomous Manipulation
RSS 2015
Direct Loss Minimization Inverse Optimal Control
RSS 2015
Incremental Local Gaussian Regression
NeurIPS 2014
Movement Segmentation and Recognition for Imitation Learning
AISTATS 2012
A Generalized Path Integral Control Approach to Reinforcement Learning
JMLR 2010
Learning Policy Improvements with Path Integrals
AISTATS 2010
A Library for Locally Weighted Projection Regression
JMLR 2008
Bayesian Kernel Shaping for Learning Control
NeurIPS 2008