Stefan Schaal

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

Achievements

+10 more ↓

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (16)

🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (7) 🏃 Academic Marathon (16) 🌟 Keyword Trendsetter Combo (4) 🧬 Topic Evolution 🏆 Keyword Champion 💎 Century Club (17) 📈 Trend Setter 🗃️ Keyword Collector (75) 🚀 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