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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
93
Citations
40066
World Ranking
511
National Ranking
23

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Jan Peters is affiliated with the Technical University of Darmstadt in Germany. Their research primarily resides at the intersection of psychology and neuroscience, with an emphasis on cognitive neuroscience and decision sciences. The scientist's body of work includes numerous contributions to experimental and clinical psychology, reflecting a broad interest in human behavior and mental processes.

The main fields of study for Peters include:

  • Psychology
  • Neuroscience

Subfields that are prominent in their research include:

  • Cognitive Neuroscience
  • Clinical Psychology
  • Experimental and Cognitive Psychology
  • General Decision Sciences
  • Artificial Intelligence

Their research topics often focus on neural and behavioral psychology studies, decision-making and behavioral economics, and gambling behavior and treatments. Additional areas explored involve mental health research topics, neurotransmitter receptor influence on behavior, reinforcement learning in robotics, and behavioral health and interventions.

  • Neural and Behavioral Psychology Studies
  • Decision-Making and Behavioral Economics
  • Gambling Behavior and Treatments
  • Mental Health Research Topics
  • Neurotransmitter Receptor Influence on Behavior
  • Reinforcement Learning in Robotics
  • Behavioral Health and Interventions

Peters has published extensively in several venues. The most frequent publication outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Journal of Neuroscience
  • PLoS Computational Biology

Some of the recent papers authored or co-authored by Jan Peters are:

  • "The drift diffusion model as the choice rule in inter-temporal and risky choice: A case study in medial orbitofrontal cortex lesion patients and controls" (2020, PLoS Computational Biology)
  • "Dopaminergic modulation of the exploration/exploitation trade-off in human decision-making" (2020, eLife)
  • "Attenuated Directed Exploration during Reinforcement Learning in Gambling Disorder" (2021, Journal of Neuroscience)
  • "Dopaminergic Modulation of Human Intertemporal Choice: A Diffusion Model Analysis Using the D2-Receptor Antagonist Haloperidol" (2020, Journal of Neuroscience)
  • "Dopamine regulates decision thresholds in human reinforcement learning in males" (2023, Nature Communications)

Peters frequently collaborates with several co-authors, including:

  • David Mathar
  • Elke Smith
  • Kilian Knauth
  • Deniz Tuzsus
  • Ben Wagner

Best Publications

  • Reinforcement learning in robotics: A survey

    Jens Kober;J. Andrew Bagnell;Jan Peters

  • Policy search for motor primitives in robotics

    Jens Kober;Jan Peters

  • 2008 Special Issue: Reinforcement learning of motor skills with policy gradients

    Jan Peters;Stefan Schaal

  • Natural actor-critic

    Jan Peters;Sethu Vijayakumar;Stefan Schaal

  • Natural Actor-Critic

    Jan Peters;Stefan Schaal

  • A Survey on Policy Search for Robotics

    Marc Peter Deisenroth;Gerhard Neumann;Jan Peters

  • The neural mechanisms of inter-temporal decision-making: understanding variability

    Jan Peters;Christian Büchel

  • An Algorithmic Perspective on Imitation Learning

    Takayuki Osa;Joni Pajarinen;Gerhard Neumann;J. Andrew Bagnell

  • Policy Gradient Methods for Robotics

    J. Peters;S. Schaal

  • Relative entropy policy search

    Jan Peters;Katharina Mülling;Yasemin Altün

  • Natural Evolution Strategies

    D. Wierstra;T. Schaul;J. Peters;J. Schmidhuber

  • Natural evolution strategies

    Daan Wierstra;Tom Schaul;Tobias Glasmachers;Yi Sun

  • Model learning for robot control: a survey

    Duy Nguyen-Tuong;Jan Peters

  • Probabilistic Movement Primitives

    Alexandros Paraschos;Christian Daniel;Jan Peters;Gerhard Neumann

  • Learning to select and generalize striking movements in robot table tennis

    Katharina Mülling;Jens Kober;Oliver Kroemer;Jan Peters

  • Reinforcement Learning for Humanoid Robotics

    J. Peters;Sethu Vijayakumar;S. Schaal

  • Neural representations of subjective reward value

    J Peters;C Büchel

  • Learning Movement Primitives

    Stefan Schaal;Jan Peters;Jun Nakanishi;Auke Jan Ijspeert

  • Operational Space Control: A Theoretical and Empirical Comparison

    Jun Nakanishi;Rick Cory;Michael Mistry;Jan Peters

  • Overlapping and Distinct Neural Systems Code for Subjective Value during Intertemporal and Risky Decision Making

    Jan Peters;Christian Büchel

  • Learning to Select and Generalize Striking Movements in Robot Table Tennis

    Katharina Muelling;Jens Kober;Oliver Kroemer;Jan Peters

Frequent Co-Authors

Gerhard Neumann
Gerhard Neumann Karlsruhe Institute of Technology
Stefan Schaal
Stefan Schaal Google (United States)
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Marc Peter Deisenroth
Marc Peter Deisenroth University College London
Christian Büchel
Christian Büchel University Medical Center Hamburg-Eppendorf
Justus Piater
Justus Piater University of Innsbruck
Uli Bromberg
Uli Bromberg Universität Hamburg
Patricia J. Conrod
Patricia J. Conrod University of Montreal
Irene Daum
Irene Daum Ruhr University Bochum

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