3 ms·
Keywords: Optimal Control, Bellman. I'm serious. For a first exercise, forget Dijkstra and just solve a maze by doing Value Iteration, and plot the cost-to-go
by ActionPlankton 4y ago
Keywords: Optimal Control, Bellman. I'm serious.
For a first exercise, forget Dijkstra and just solve a maze by doing Value Iteration, and plot the cost-to-go at each step.
Then consider that this function doesn't have to take a graph vertex or grid cell, but could instead be some continuous function on R^n.
The next step usually is to learn about the Linear Quadratic Regulator problem, where the cost-to-go is a quadratic, and you get to do an iteration of "Value Iteration" by updating the quadratic coefficients.
To connect to physics, see how you'd write the Action Integral in these terms.
- kkylin 4y agoTo expand on these themes, you may be interested in reading up on these & related topics: Hamilton-Jacobi-Bellman equation: https://en.wikipedia.org/wiki/Hamilton%E2%80%93Jacobi%E2%80%93Bellman_equation https://en.wikipedia.org/wiki/Hamilton%E2%80%93Jacobi%E2%80%... Pontryagin maximum principle: https://en.wikipedia.org/wiki/Pontryagin%27s_maximum_principle https://en.wikipedia.org/wiki/Pontryagin%27s_maximum_princip...