View allAll Photos Tagged dynamics
87568037 :Piction ID--Convair employees working on Tomahawk missile---Please tag these photos so information can be recorded.---- Digitization of this image made possible by a grant from NEH: NEH and the San Diego Air and Space Museum
MCAAP, USAF PEO for Weapons, Joint Munitions Command, PEO for Ammunitions and General Dynamics – Ordnance and Tactical Systems cut the ribbon opening B-Line West at McAlester Army Ammunition Plant on May 16, 2017. (U.S. Army photo by Kevin Jackson)
Dynamic: Complex Dynamics
This photo shows complex dynamics because of the array of subjects. There is no one subject that your eye is drawn to and your eyes are drawn all around the photo. By looking at one plate or bowl, your eyes are almost instantly drawn to look across the other plates, and there's no real organization to it. This photo was taken in unnatural lighting, as it was taken inside, and top lighting, as you can see not only on the silverware, which has highlights on the highest parts, but also on the dishes, as the bottoms have shadows and the top of the bowls have highlights. The framing is horizontal, as it's wider than it is tall, and creative, as it's a story about the food, rather than a story of the whole table with the family members sitting for dinner. The point of view of this image is bird's eye view, as it is looking down from the food and is not at eye level with it or looking up at it.
87568191 :Piction ID--Convair employee washing Tomahawk missile---Please tag these photos so information can be recorded.---- Digitization of this image made possible by a grant from NEH: NEH and the San Diego Air and Space Museum
88486543 :Piction ID--Tomahawk missile being transported near Boeing B-52---Please tag these photos so information can be recorded.---- Digitization of this image made possible by a grant from NEH: NEH and the San Diego Air and Space Museum
88424267 :Piction ID--Convair employee standing next to Tomahawk missile on stand---Please tag these photos so information can be recorded.---- Digitization of this image made possible by a grant from NEH: NEH and the San Diego Air and Space Museum
Reinforcement learning (RL) is a powerful learning paradigm of machine learning (ML). It is particularly suited to tackle control problems in large environments, can learn from experience without the need of a model of the dynamics, and can deal with delayed consequences.
Capturing your control problem as a meaningful Markov Decision Process (MDP) is not trivial. Additional challenges arise in the training in terms of stability and evaluation. Other practical aspects include reproducibility, efficiency, implementation, deployment in hardware, or choosing the most suitable algorithm for your problem.
RL applications in particle accelerators are very promising, but have been deployed in real machines only a handful of times. This workshop aims at lowering the barrier in applying RL and making it a more widely used tool.
Photos: Simon P. Haigermoser
Gordon Shedden and Matt Neal at the 10, 11th and 12th rounds of the British Touring Car Championship at Thruxton.
88482878 :Piction ID--Tomahawk missile near General Dynamics F-111---Please tag these photos so information can be recorded.---- Digitization of this image made possible by a grant from NEH: NEH and the San Diego Air and Space Museum