Jan R Peters
8 papers · 2013–2023 · 1 venue · 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 ↑
πΊοΈ Taxonomy Completionist (27) π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Half π Trend Setter
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types
(4)
Reinforcement Learning
(3)
Methods
(3)
Bayesian & Probabilistic Β· Machine Learning
(2)
Interdisciplinary
(1)
Robotics
(1)
Applications
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Capabilities
(1)
Keywords
probabilistic modeling
(1)
black-box optimization
(1)
variational inference
(1)
sequential decision making
(1)
optimal transport
(1)
likelihood-free inference
(1)
robot learning
(1)
regret minimization
(1)
gaussian process
(1)
policy search
(1)
stochastic control
(1)
partially observable markov decision process
(1)
trajectory optimization
(1)
relative entropy
(1)
convex programming
(1)
bayesian optimization
(1)
learning progress
(1)
probabilistic trajectory distribution
(1)
stochastic feedback controller
(1)
information theory
(1)
Papers
Accelerating Motion Planning via Optimal Transport
NeurIPS 2023
Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
NeurIPS 2023
Pseudo-Likelihood Inference
NeurIPS 2023
Information-Theoretic Safe Exploration with Gaussian Processes
NeurIPS 2022
Self-Paced Deep Reinforcement Learning
NeurIPS 2020
Catching heuristics are optimal control policies
NeurIPS 2016
Model-Based Relative Entropy Stochastic Search
NeurIPS 2015
Probabilistic Movement Primitives
NeurIPS 2013