197 citations · 465 across the 11 of their papers we have counts for
11 papers
Flow: Separating Consensus and Compute -- Block Formation and Execution
Alexander Hentschel, Yahya Hassanzadeh-Nazarabadi, Ramtin Seraj +2
Most current blockchains require all full nodes to execute all tasks limits the throughput of existing blockchains, which are well documented and among the most significant hurdles…
Flow: Separating Consensus and Compute -- Execution Verification
Alexander Hentschel, Dieter Shirley, Layne Lafrance +1
Throughput limitations of existing blockchain architectures are well documented and are one of the most significant hurdles for their wide-spread adoption. In our previous proof-of…
Flow: Separating Consensus and Compute
Alexander Hentschel, Dieter Shirley, Layne Lafrance
Throughput limitations of existing blockchain architectures are one of the most significant hurdles for their wide-spread adoption. Attempts to address this challenge include layer…
A Benchmark Environment Motivated by Industrial Control Problems
Daniel Hein, Stefan Depeweg, Michel Tokic +4
In the research area of reinforcement learning (RL), frequently novel and promising methods are developed and introduced to the RL community. However, although many researchers are…
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences
Daniel Hein, Steffen Udluft, Michel Tokic +3
The Particle Swarm Optimization Policy (PSO-P) has been recently introduced and proven to produce remarkable results on interacting with academic reinforcement learning benchmarks…
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…
An Efficient Algorithm for Optimizing Adaptive Quantum Metrology Processes
Alexander Hentschel, Barry C. Sanders
Quantum-enhanced metrology infers an unknown quantity with accuracy beyond the standard quantum limit (SQL). Feedback-based metrological techniques are promising for beating the SQ…
Ordered Measurements of Permutationally-Symmetric Qubit Strings
Alexander Hentschel, Barry C. Sanders
We show that any sequence of measurements on a permutationally-symmetric (pure or mixed) multi-qubit string leaves the unmeasured qubit substring also permutationally-symmetric. In…
Machine Learning for Precise Quantum Measurement
Alexander Hentschel, Barry C. Sanders
Adaptive feedback schemes are promising for quantum-enhanced measurements yet are complicated to design. Machine learning can autonomously generate algorithms in a classical settin…
Testing the nested light-cone Bethe equations of the AdS_5 x S^5 superstring
Alexander Hentschel, Jan Plefka, Per Sundin
We perform a detailed test of the quantum integrability of the AdS_5 x S^5 superstring in uniform light-cone gauge in its near plane-wave limit. For this we establish the form of t…