et encore une fois c'est pour ça que yugioh est le jeu supérieur
et encore une fois c'est pour ça que yugioh est le jeu supérieur
Today we're being BORING.
I'm setting up to allow a 'profile' model of saving gamestate so a player's run through a scenario stores meta-scenario data that can change later scenarios accordingly.
But I need to redo save/load handling and all save/load related UI. So, yep.
Today we're being BORING.
I'm setting up to allow a 'profile' model of saving gamestate so a player's run through a scenario stores meta-scenario data that can change later scenarios accordingly.
But I need to redo save/load handling and all save/load related UI. So, yep.
Follow for more updates!
#indiedev #gamedev #godot #monkanics
Follow for more updates!
#indiedev #gamedev #godot #monkanics
(Thank you!).
* Gamestate: Wild, frustrating ride.
* Pcts: Loons were largely what they’ve been in 2026. LAG had off-chart finishing and luck.
(Thank you!).
* Gamestate: Wild, frustrating ride.
* Pcts: Loons were largely what they’ve been in 2026. LAG had off-chart finishing and luck.
#RBNY didn't do anything to distinguish themselves before their goal, but fortune fell their way.
#NYCFC dominated the xG share after they went down. They had an 88% chance of equalizing, but no luck.
See it all below:
#NYCvNYRB ~ #MLS
Tictactoe demo in the same vein you would turn the 3 x 3 board of x and o into an array of 0-2
[0, 0, 0, 0, 2, 0, 0, 0, 0] is a tictactoe board with only the center square filled with an x
Prompt: "This is tictactoe. You are x. Win the game {gamestate}" -> Loop
Tictactoe demo in the same vein you would turn the 3 x 3 board of x and o into an array of 0-2
[0, 0, 0, 0, 2, 0, 0, 0, 0] is a tictactoe board with only the center square filled with an x
Prompt: "This is tictactoe. You are x. Win the game {gamestate}" -> Loop
- Copy the entire game state as it runs
- Present the gamestate as json to agents
- Individual decision trees make decisions based on that game state
- Loop
No visual/multimodal etc in the loop
- Copy the entire game state as it runs
- Present the gamestate as json to agents
- Individual decision trees make decisions based on that game state
- Loop
No visual/multimodal etc in the loop
Plus the gamestate probably played a factor here - Arsenal probably don't concede 2 goals if they weren't winning by 4
Plus the gamestate probably played a factor here - Arsenal probably don't concede 2 goals if they weren't winning by 4
The model is designed to isolate the effect of gamestate on performance, but it makes traditional predictions and ratings too
The model is designed to isolate the effect of gamestate on performance, but it makes traditional predictions and ratings too
if you realize you accidentally broke gamestate mid-turn, is it acceptable to inform your opponent of the mistake and concede? or should the game wait until a judge reviews what happened?
if you realize you accidentally broke gamestate mid-turn, is it acceptable to inform your opponent of the mistake and concede? or should the game wait until a judge reviews what happened?
Overall Per Match
Close Gamestate (+/- 1 goal)
Through matchweek 3
Overall Per Match
Close Gamestate (+/- 1 goal)
Through matchweek 3
SuPol to 1 for Predap and Hero reasons.
Anyways Konami won't return my calls despite me saving the format
SuPol to 1 for Predap and Hero reasons.
Anyways Konami won't return my calls despite me saving the format