Jan R. Peters
16 papers · 2008–2023 · 1 venue · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (48) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Gold 🏃 Academic Marathon · Full 🧭 Keyword Pioneer
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Keyword Trendsetter Combo
(3)
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Trend Setter
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Renaissance Researcher
(7)
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Century Club · Bronze
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Keyword Collector
(110)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Learning Types
(11)
Artificial Intelligence
(10)
Reinforcement Learning
(9)
Optimization & Theory
(8)
Robotics
(7)
Applications
(7)
Capabilities
(7)
Core AI
(7)
Methods
(7)
Mathematics & Optimization
(6)
Bayesian & Probabilistic · Machine Learning
(6)
Bayesian & Probabilistic · Artificial Intelligence
(6)
Core Methods
(6)
Optimization
(6)
Keywords
reinforcement learning
(3)
policy search
(3)
gaussian process
(2)
robot learning
(2)
dynamical system
(2)
variational inference
(2)
time series
(2)
imitation learning
(2)
action recognition
(1)
black-box optimization
(1)
policy evaluation
(1)
robotic manipulation
(1)
motion analysis
(1)
bayesian inference
(1)
optimal transport
(1)
temporal difference learning
(1)
sequential decision making
(1)
em algorithm
(1)
probabilistic modeling
(1)
gaussian processes
(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
Algorithms for Learning Markov Field Policies
NeurIPS 2012
A Non-Parametric Approach to Dynamic Programming
NeurIPS 2011
Movement extraction by detecting dynamics switches and repetitions
NeurIPS 2010
Switched Latent Force Models for Movement Segmentation
NeurIPS 2010
Fitted Q-iteration by Advantage Weighted Regression
NeurIPS 2008
Local Gaussian Process Regression for Real Time Online Model Learning
NeurIPS 2008
Policy Search for Motor Primitives in Robotics
NeurIPS 2008
Using Bayesian Dynamical Systems for Motion Template Libraries
NeurIPS 2008