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Particle Swarm Optimization for Generating Interpretable Fuzzy
  Reinforcement Learning Policies
v1v2v3v4v5 (latest)

Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies

19 October 2016
D. Hein
A. Hentschel
Thomas Runkler
Steffen Udluft
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies"

4 / 4 papers shown
Title
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
Charlotte Beylier
Simon M. Hofmann
Nico Scherf
185
0
0
20 Jun 2024
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
Yotam Amitai
Guy Avni
Ofra Amir
82
3
0
24 Jan 2023
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian
  Neural Networks
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Stefan Depeweg
José Miguel Hernández-Lobato
Finale Doshi-Velez
Steffen Udluft
BDL
58
160
0
23 May 2016
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
170
7,658
0
22 Sep 2015
1