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rakbar


Last seen: 6 Tage ago
8 total contributions since 2019

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Question


How can I extract a trained RL Agent's network's weights and biases?
How can I extract a trained RL Agent's network's weights and biases? My network is: statePath = [ imageInputLayer([numO...

6 Monate ago | 1 answer | 0

1

answer

Question


Policy Gradient with Baseline Reward Oscillation (MATLAB Reinforcement Learning Toolbox)
I'm trying to train a Policy Gradient Agent with Baseline for my RL research. I'm using the in-built RL toolbox from MATLAB (htt...

6 Monate ago | 1 answer | 0

1

answer

Answered
every time i import an excel file the time column changes to some values and i dont know how to proceed futher like how to convert it back to time ,add,subtract please help
If you use MATLABs "Import Data" feature, next to the time column, there is a small down arrow. click on it, and you can set you...

mehr als ein Jahr ago | 0

Answered
Dividing a Matrix into submatrices according to a specific column value
Use MATLAB findgroup and splitapply functions. Here is an example: https://www.mathworks.com/help/matlab/ref/splitapply.html#b...

mehr als ein Jahr ago | 1

| accepted

Answered
intersect two datetime vectors
It looks like your datetime arrays have some NaT in them. This is what I did: (1) remove NaT, (2) convert to datestr, (3) conver...

mehr als ein Jahr ago | 1

| accepted

Answered
How to save output of 'fit' optimization routine in PARFOR loop
You need to create a new function, e.g., parsave, and pass in your struct. Within this new function, you can then save your stru...

mehr als ein Jahr ago | 0

| accepted

Answered
how to save all output of a loop in a matrix. the loop run throug 200 files dataset and return column vector of 800 points each iteration , i need to have 200x800 matrix as result
length_of_data = 800; % length of your data random_data_vector = rand(1,800); % dummy/test data --> update from your file n...

mehr als ein Jahr ago | 0

| accepted

Question


MATLAB Dropout layer during prediciton
The Documentation for a Dropout layer states that: "At prediction time the output of a dropout layer is equal to its input." ...

mehr als ein Jahr ago | 3 answers | 0

3

answers