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A Probabilistic Interpretation of Self-Paced Learning with Applications
  to Reinforcement Learning

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning

25 February 2021
Pascal Klink
Hany Abdulsamad
Boris Belousov
Carlo DÉramo
Jan Peters
J. Pajarinen
ArXivPDFHTML

Papers citing "A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning"

4 / 4 papers shown
Title
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
63
2
0
29 Sep 2024
Self-Paced Absolute Learning Progress as a Regularized Approach to
  Curriculum Learning
Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning
Tobias Niehues
Ulla Scheler
Pascal Klink
11
0
0
09 Jun 2023
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with
  Gaussian Processes
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
Joe Watson
Jan Peters
16
15
0
07 Oct 2022
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
132
451
0
10 Mar 2020
1