Andreas Doerr
6 papers · 2015–2020 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (5)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(5)
π
Keyword Champion
(2)
π
Trend Setter
π
Conference Pioneer
Conferences
ICML (2)
CORL (1)
ICLR (1)
NIPS (1)
RSS (1)
Top co-authors
Research topics
Keywords
policy search
(2)
gaussian process
(2)
motion planning
(1)
imitation learning
(1)
variational inference
(1)
structured prediction
(1)
policy gradient
(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)
inverse optimal control
(1)
generative model
(1)
generalization bound
(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
NIPS 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