chintantrivedi / deepgamingai_fifa Goto Github PK

Hello,

Very nice work. I have some questions.

1. How you figured out where a player is in game? I mean, if he is in attacking position or defending position.

2. Would you able to keep a track of players storing a position of each of them in each frame and knowing exactly who was the player?

How did you differenced teams?

Hi, is there any chance you will upgrade your project to use Tensorflow 2.0

Thanks.

Hi, is it possible there is a step by step guide so I could try it at home? thanks!

https://github.com/ChintanTrivedi/DeepGamingAI_FIFA/blob/master/get_keys.py
This doesn't work anymore for fifa 19.
Detecting keys doesnt work!

im working on a project on Trading and i have much experience
i have a full stuck software develepements , im still newbe on AI but im going well

i you can give some help on Deep Q learning will be amazing

this is my email : [email protected]

Great work and thank you for sharing this interesting FIFA bot !!
I'm wondering whether the goal in the Youtube video (linked in the README) is performed by the agent?

I run your code on my setup, but the performance is somehow not ideal. Some strange things are observed:

1. A lot of subtle movements are generated by the movement LSTM branch. The player literally won't move towards the opponent's goal.
2. The action LSTM network produces, in most cases, the no-op option. (I guess the last empty entry in this variable stands for no-op, am I right?)

What's your experience on improving the performance? Thank you ahead of time!