A New Approach for Analyzing Convergence Algorithms for Mobile Robots.
Andreas Cord-LandwehrBastian DegenerMatthias FischerMartina HüllmannBarbara KempkesAlexander KlaasPeter KlingSven KurrasMarcus MärtensFriedhelm Meyer auf der HeideChristoph RaupachKamil SwierkotDaniel WarnerChristoph WeddemannDaniel WonischPublished in: ICALP (2) (2011)
Keyphrases
- mobile robot
- theoretical analysis
- convergence rate
- optimization problems
- stochastic approximation
- neural network
- times faster
- computationally expensive
- path planning
- orders of magnitude
- search space
- computational complexity
- learning algorithm
- computationally efficient
- worst case
- computational efficiency
- computational cost
- recently developed
- convergence speed
- genetic algorithm