- go to the cell in the notebook
- pip install the latest
mlagents
version. usingbanana.ymal
in the new format.
mlagents_envs.exception.UnityEnvironmentException: Environment shut down with return code -6 (SIGABRT).
mlagents
version. using banana.ymal
in the new format.mlagents_envs.exception.UnityEnvironmentException: Environment shut down with return code -6 (SIGABRT).
👉 check the colab notebook
👉 go to the cell
mono_gdb_render_native_backtraces not supported on this platform, unable to find gdb or lldb
mlagents
release 1. used trainer_config.yaml
in the old format.👉 for the course projcts, Unity MLAgents - Banana Collector
, etc.
👉 go to the Banana and VisualBanana notebooks
👉 go to the course repo
👉 check course curriculum
Window 11, VSCode, Minicoda, Powershell
the content below is from the original author.
My first(-ish) Kaggle competition
I'm new to Kaggle and wanted to take this challenge as an opportunity to:
👉 with all 7 features, a simple vanilla neural network with hidden dimension [64] as regressor, trained 200 epochs.
(kaggle--feedback-prize-ell) PS D:\github\kaggle--feedback-prize-ell> & D:/Users/guido/miniconda3/envs/kaggle--feedback-prize-ell/python.exe d:/github/kaggle--feedback-prize-ell/main.py
MSFTDeBertaV3Config object:
model name: deberta-v3-base
traning device: cuda:0
inference device: cuda:0
model type: nn
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
# **The Sound of Silence** | |
music tabs for 21-key Kalimba, encoded by nov05 | |
,,,,,,, | |
6ld,3,1,3,6ld,3,1,3 | |
,,6,6,1d,1d,3d,3d,v,2d,,,,,,,,v,,5,5,5,7,7,2d,2d,v,1d,,,,,,, | |
6ld,3,1,3,6ld,3,1,3,v,5ld,2,7ld,2,5ld,2,7ld,2,v,5ld,2,7ld,2,5ld,2,7ld,2,v,6ld,3,1,3,6ld,3,1,3 | |
,1d,1d,1d,3d,3d,5d,5d,v,6d,,6d,5d,,,,,v,,,1d,1d,3d,3d,5d,5d,v,6d,,6d,5d,,,, | |
6ld,3,1,3,6ld,3,1,3,v,4,1d,,,1,5,3,5,v,1,5,3,5,1,5,3,5,v,4,1d,,,1,5,3,5 | |
,,1d,1d,6d,6d,,,v,,,6d,7d,1dd,1dd,,,v,7d,6d,,5d,,,,,v,,,6d,5d,3d,,, |
https://www.youtube.com/watch?v=_DaTsI42Wvo&t=653s
@furkanunsal5814, 10 months ago (edited)
I solved the problem much differently and pure mathematically before watching the video. it is very hard to explain a solution in text form but the main idea was to see the portals as binary numbers. I split the problem into two. evaluating how many times the player has entered a portal (to teleport not passover) and then calculating the total distance traveled. The second problem's solution was easy I just had to calculate the difference in position between the portal and the teleportation target to calculate the "cost" of the teleportation. the total length of the line plus all the costs were equal to the total distance traveled. now for the solution to the first part, look at the first example with 4 portals (red, orange, yellow, green). in the solution of this part ignore all the distances. if you look at the first red portal it teleports the player right behind itself and is thus equivalent to a binary nu
3 2 0 | |
6 5 1 | |
7 4 0 | |
8 1 1 | |
23 | |
454971987 406874902 1 | |
503069073 |
New York,Los Angeles,2778 | |
Chicago,Houston,940 | |
San Francisco,Seattle,1094 | |
Miami,Atlanta,663 | |
Washington DC,Boston,394 | |
Dallas,Austin,195 | |
Phoenix,Denver,586 | |
Detroit,Minneapolis,539 | |
Charlotte,Raleigh,172 | |
Philadelphia,Pittsburgh,305 |
Time,Cnt,Sales,%Sales | |
10:00AM-10:30AM,7,"$108.60",0.2 | |
10:30AM-11:00AM,62,"$970.59",1.84 | |
11:00AM-11:30AM,102,"$1,399.29",2.66 | |
11:30AM-12:00PM,174,"$2,592.46",4.94 | |
12:00PM-12:30PM,210,"$2,847.98",5.42 | |
12:30PM-1:00PM,189,"$2,609.96",4.97 | |
1:00PM-1:30PM,163,"$2,388.46",4.55 | |
1:30PM-2:00PM,168,"$2,222.29",4.23 | |
2:00PM-2:30PM,104,"$1,430.59",2.72 |