186 citations · 1.2k across the 43 of their papers we have counts for
3 papers · 1 filter
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies
Daniel Hein, Alexander Hentschel, Thomas Runkler +1
Fuzzy controllers are efficient and interpretable system controllers for continuous state and action spaces. To date, such controllers have been constructed manually or trained aut…
Introduction to the "Industrial Benchmark"
Daniel Hein, Alexander Hentschel, Volkmar Sterzing +2
A novel reinforcement learning benchmark, called Industrial Benchmark, is introduced. The Industrial Benchmark aims at being be realistic in the sense, that it includes a variety o…
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez +1
We present an algorithm for model-based reinforcement learning that combines Bayesian neural networks (BNNs) with random roll-outs and stochastic optimization for policy learning.…