Thomas B Schön
6 papers · 2013–2024 · 1 conference · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (24) 🧭 Keyword Pioneer 🏃 Academic Marathon (11) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15)
🌈
Renaissance Researcher
(6)
🌉
Interdisciplinary Bridge
🧬
Topic Evolution
📈
Trend Setter
Conferences
NIPS (6)
Top co-authors
Keywords
gaussian process
(2)
convex optimization
(2)
linear dynamical system
(2)
particle markov chain monte carlo
(2)
markov chain monte carlo
(2)
bayesian inference
(2)
dynamical system
(2)
optimal control
(2)
model-based reinforcement learning
(1)
sequential monte carlo
(1)
probabilistic inference
(1)
constraint satisfaction
(1)
offline reinforcement learning
(1)
particle filter
(1)
smoothing distribution
(1)
reproducing kernel hilbert space
(1)
linear quadratic
(1)
nonparametric inference
(1)
particle mcmc
(1)
bayesian regression
(1)
Papers
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
NIPS 2024
Robust exploration in linear quadratic reinforcement learning
NIPS 2019
Learning convex bounds for linear quadratic control policy synthesis
NIPS 2018
Linearly constrained Gaussian processes
NIPS 2017
Sequential Monte Carlo for Graphical Models
NIPS 2014
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
NIPS 2013