Search Results for author: Alexander Hentschel

Found 5 papers, 1 papers with code

Flow: Separating Consensus and Compute

no code implementations12 Sep 2019 Alexander Hentschel, Dieter Shirley, Layne Lafrance

In this paper, we describe a novel approach where we split the work traditionally assigned to cryptocurrency miners into two different node roles.

Distributed, Parallel, and Cluster Computing

A Benchmark Environment Motivated by Industrial Control Problems

2 code implementations27 Sep 2017 Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing

On one hand, these benchmarks are designed to provide interpretable RL training scenarios and detailed insight into the learning process of the method on hand.

OpenAI Gym Reinforcement Learning (RL)

Batch Reinforcement Learning on the Industrial Benchmark: First Experiences

no code implementations20 May 2017 Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing

The Particle Swarm Optimization Policy (PSO-P) has been recently introduced and proven to produce remarkable results on interacting with academic reinforcement learning benchmarks in an off-policy, batch-based setting.

reinforcement-learning Reinforcement Learning (RL)

Cannot find the paper you are looking for? You can Submit a new open access paper.