Andreas Doerr
6 papers · 2015–2020 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
🚀
Conference Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Reinforcement Learning
(3)
Methods
(3)
Robotics
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Paradigms
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Capabilities
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Keywords
gaussian process
(3)
policy search
(2)
motion planning
(1)
imitation learning
(1)
variational inference
(1)
transfer learning
(1)
structured prediction
(1)
policy gradient
(1)
hyperparameter optimization
(1)
supervised learning
(1)
marginal likelihood
(1)
time series
(1)
importance sampling
(1)
continuous control
(1)
sparse approximation
(1)
model-based reinforcement learning
(1)
reward function
(1)
off-policy learning
(1)
direct loss minimization
(1)
bayesian optimization
(1)
Papers
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
ICLR 2020
Trajectory-Based Off-Policy Deep Reinforcement Learning
ICML 2019
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
NeurIPS 2018
Probabilistic Recurrent State-Space Models
ICML 2018
Optimizing Long-term Predictions for Model-based Policy Search
CoRL 2017
Direct Loss Minimization Inverse Optimal Control
RSS 2015