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researcher

Jan Peters

Intelligent Autonomous Systems Group, Technische Universität Darmstadt, Darmstadt, Germany

86 papers hereh-index 8635.5k citations611 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author23
  • last author62

Across the 85 of 86 papers where every author was matched, so the position is known.

fields
  • cs.RO37
  • cs.LG35
  • cs.AI4
  • stat.ML3
  • cs.NE2
  • eess.SY2
affiliations
  • Intelligent Autonomous Systems Group, Technische Universität Darmstadt, Darmstadt, Germany
  • Max Planck Institute for Biological Cybernetics
  • Max Planck Institute for Intelligent Systems
  • Technische Universität Darmstadt
  • University of Southern California
Homepage
same name
  • Jan Peters — 17 papers, h 6
  • Jan Peters — 13 papers, h 6
  • Jan Peters — 12 papers, h 14
  • Jan Peters — 11 papers, h 5
  • Jan Peters — 11 papers, h 2
  • Jan Peters — 10 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112023
most citedDeep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

82 citations · 341 across the 47 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2020

Model-Based Quality-Diversity Search for Efficient Robot Learning

Leon Keller, Daniel Tanneberg, Svenja Stark +1

Despite recent progress in robot learning, it still remains a challenge to program a robot to deal with open-ended object manipulation tasks. One approach that was recently used to…

cs.AI2019

Generalized Mean Estimation in Monte-Carlo Tree Search

Tuan Dam, Pascal Klink, Carlo D'Eramo +2

We consider Monte-Carlo Tree Search (MCTS) applied to Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), and the well-known Upper Confidence bound for Trees (…

cs.AI2019★ 4 cited

Information Gathering in Decentralized POMDPs by Policy Graph Improvement

Mikko Lauri, Joni Pajarinen, Jan Peters

Decentralized policies for information gathering are required when multiple autonomous agents are deployed to collect data about a phenomenon of interest without the ability to com…

cs.AI2018

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks

Daniel Tanneberg, Jan Peters, Elmar Rueckert

Autonomous robots need to interact with unknown, unstructured and changing environments, constantly facing novel challenges. Therefore, continuous online adaptation for lifelong-le…

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