Reinforcement Learning Vs AI-Based Advanced Optimizations | Annealing, Tabu, HillClimbing, AntColony
Did you ever think:
How Reinforcement Learning is different from other advanced heuristic and AI-based Optimizations like Simulated Annealing, Ant Colony Optimization, Hill Climbing, Tabu Search or Particle Swarm Optimization?
Or for that matter how RL and these Advanced Optimization methods differ from Stochastic Gradient Descent as used in Machine Learning?
Or even why Deep Learning uses ADAM, RMSProp and Newton's optimizer, while machine learning uses Gradient Descent?
Or why machine learning cannot use Linear programming or Integer Programming?
Or can we use Dynamic Programming to replace Reinforcement Learning?
Well, then this video is for you!
This video compares different forms of Computations, Mathematical, Heuristic Optimizations and Reinforcement Learning for different applications in Machine Learning, Deep Learning, and Artificial Intelligence.
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