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J. Broekens

11 papers hereh-index 314.1k citations152 works total

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

author position
  • sole author3
  • first author1
  • middle author7

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.LG3
  • cs.HC2
  • cs.CY1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20082020
most citedEmotion in Reinforcement Learning Agents and Robots: A Survey

159 citations · 193 across the 8 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2020★ 2 cited

The Second Type of Uncertainty in Monte Carlo Tree Search

Thomas M Moerland, Joost Broekens, Aske Plaat +1

Monte Carlo Tree Search (MCTS) efficiently balances exploration and exploitation in tree search based on count-derived uncertainty. However, these local visit counts ignore a secon…

cs.AI2020★ 6 cited

Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning

Thomas M. Moerland, Anna Deichler, Simone Baldi +2

Planning and reinforcement learning are two key approaches to sequential decision making. Multi-step approximate real-time dynamic programming, a recently successful algorithm clas…

cs.AI2018

A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior

Joost Broekens

Emotions are intimately tied to motivation and the adaptation of behavior, and many animal species show evidence of emotions in their behavior. Therefore, emotions must be related…

cs.AI2009

Modeling the Experience of Emotion

Joost Broekens

Affective computing has proven to be a viable field of research comprised of a large number of multidisciplinary researchers resulting in work that is widely published. The majorit…

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