no code implementations • 12 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
2 code implementations • 27 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.
no code implementations • 20 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.
no code implementations • 19 Oct 2016 • Daniel Hein, Alexander Hentschel, Thomas Runkler, Steffen Udluft
To the best of our knowledge, this approach is the first to relate self-organizing fuzzy controllers to model-based batch RL.
no code implementations • 12 Oct 2016 • Daniel Hein, Alexander Hentschel, Volkmar Sterzing, Michel Tokic, Steffen Udluft
A novel reinforcement learning benchmark, called Industrial Benchmark, is introduced.