Comments (8)
Done! (for both MDP MCTS and POMDP MCTS)
from decisionmaking.
We can certainly try line thickness. The weirdness there is that as far as I know, TikZ can't taper easily, so we wouldn't get smooth transitions between them without drawing node circles to cover them up.
I am reluctant to put a bunch of labels with numbers all over the image. If we are drawing node circles for the first bit, we could color them, and that would result in adding a horizontal colorbar - that sounds complicated. We can try this but let's make it low priority.
from decisionmaking.
Ooh... what do you think @tawheeler ?
from decisionmaking.
Yeah, it seems like numbers definitely don't belong on there - colored circles would be much more appropriate. I don't think you would necessarily even need a colorbar. Just say something like "the color of the action nodes indicates the Q estimate; green is higher, red is lower"
from decisionmaking.
I now have a way to render gradient edges of varying thickness!
This might happen much sooner than I thought.
from decisionmaking.
How about something like this:
Getting a good layout for varying thickness is proving more difficult than I'd like. Visitation counts are thus merely printed.
Note that this tree, to prevent it from being very tall (ie wide), does not show nodes with zero visitation counts.
(I can mess with it to get better colors)
from decisionmaking.
I'm happy if you're happy. yeah, the current color scheme looks like the new instagram logo.
from decisionmaking.
I like this - the one thing that might make it easier to read is to not put the counts on the borders of the color patches, but that is a minor factor.
from decisionmaking.
Related Issues (20)
- 4 Parameter Learning. 4.1 Maximum Likelihood Parameter Learning HOT 2
- Norm in SetCategorical HOT 3
- "Backpropagation" in MCTS implementation HOT 2
- Chapter 10, Eq (10.13) HOT 3
- Wording in Chapter 10.6: Mirror Sampling HOT 2
- Wrong reference HOT 1
- Suggestion for line plot in Example 9.8 HOT 6
- Algorithm 7.9 use of enumerate HOT 1
- Example 17.4 Missing Value HOT 1
- Missing state in `π()` in equation 20.8 HOT 2
- Example 22.3 - Upper and lower bounds HOT 1
- A small question on page 115, Eq.(6.3) HOT 1
- Caption alg 21.8 HOT 1
- Page 27, Example 2.4 - Equivalence of joint prob. table and tree representation HOT 3
- Equation 7.22 HOT 2
- Missing loop code for algorithms in chapter 5 on descent methods HOT 4
- LightGraphs.jl / topological_sort HOT 4
- Example 4.1 HOT 4
- Example 4.2 HOT 2
- Chapter 8, fig. 8.13 HOT 2
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from decisionmaking.