Distributed Reinforcement Learning for a Traffic Engineering Application. Mark D. Pendrith DaimlerChrysler Research & Technology Center Presented by: Christina Schweikert. Distributed Reinforcement Learning for Traffic Engineering Problem. Intelligent Cruise Control System
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Mark D. Pendrith
DaimlerChrysler Research & Technology CenterPresented by: Christina Schweikert
vd(i)desired speed of car i
va(i)actual speed of car i
n number of cars in simulation at time-step
If there is not a safe gap in front and behind, land change is illegal.
o Since true state of the environment is known, can directly measure loss metric
o Can be run faster, many long learning trials
Learn policies offline then integrate into intelligent cruise control system with lane advisory, route planning, etc.