← Authors

Stefan Schaal

17 papers · 2008–2024 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (32) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (16) 🌟 Keyword Trendsetter Combo (4) 🧬 Topic Evolution πŸ† Keyword Champion πŸ’Ž Century Club (17) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (75) πŸš€ Conference Pioneer

Conferences

RSS (5) NIPS (3) AISTATS (2) CORL (2) ICML (2) JMLR (2) ICLR (1)

Top co-authors

Andreas Doerr (3) Evangelos Theodorou (3) Karol Hausman (3) Sebastian Trimpe (2) Jonas Buchli (2) Mrinal Kalakrishnan (2) Yevgen Chebotar (2) Franziska Meier (2) Gaurav Sukhatme (2) Daniel Kappler (2)

Research topics

Robotics (1)

Keywords

imitation learning (5) gaussian process (3) variational inference (3) reinforcement learning (2) nonparametric regression (2) robot learning (2) trajectory rollout (2) policy improvement (2) policy search (2) function approximation (2) locally weighted regression (2) model-based reinforcement learning (2) behavior cloning (1) bayesian inference (1) online decision making (1) incremental learning (1) bayesian learning (1) kalman filter (1) supervised learning (1) optimal control (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 NIPS 2017
Optimizing Long-term Predictions for Model-based Policy Search CORL 2017
Direct Loss Minimization Inverse Optimal Control RSS 2015
Data-Driven Online Decision Making for Autonomous Manipulation RSS 2015
A New Perspective and Extension of the Gaussian Filter RSS 2015
Incremental Local Gaussian Regression NIPS 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 NIPS 2008