rolv-arild / necto Goto Github PK

Hello, I have the RLBot zip file and I cannot use Necto. Everytime I launch it, it says:
ERROR: Could not find a version that satisfies the requirement torch==1.9.1+cpu (from versions: none)
ERROR: No matching distribution found for torch==1.9.1+cpu
Encountered exception: No module named 'rlbot'

I do not know how to solve this, as I have tried many ways to fix it (such as downloading torch manually, placing the RLBot file inside the Necto file, etc.

Any help is appreciated.

I install from branch human_addition and after run runDistributedWorker and get error from rocket_learn:

Traceback (most recent call last):
File "worker.py", line 14, in
from rocket_learn.rollout_generator.redis_rollout_generator import RedisRolloutWorker, _unserialize
ModuleNotFoundError: No module named 'rocket_learn.rollout_generator.redis_rollout_generator'

What version of what branch need to be rocket_learn install? to be this work after install. After that is couple more errors like tuples from rocket_learn and etc that crashes when match start.

Rocket_learn i install from that line
python -m pip install -U git+https://github.com/Rolv-Arild/rocket-learn.git

• Installed RLBot today [ 2 / 16 / 2022 ]
• Installed the default python version they recommended [ 3.7.9 ]
• Installed required packages for Necto through the RLBotGUI
• (noticed I needed node) Installed node from nodejs.org
• Tried adding the bot to a 2v1 match; bots don't properly run... there are errors in the RLBot debug window

Traceback:

To start computing
clone repo
start cmd as admin
create symlink to repo\training\training repo\training (mklink /D path\to\repo\training\training path\to\repo\training)
close cmd
open repo\training in windows explorer or non-admin cmd
Run runDistributedWorker.bat
enter your name + server ip + server password
when asked for the IP and password, dm Soren and he'll fill you in.

Can i get password and ip or copy of redis database @DanielDowns?

Why does demo time consider 120 fps ?

The observation builder has a comment in front of the demo timer (Pre-normalized, 120 fps for 10 seconds). However, if the game speed is set to 100, the documentation of rlgym vaguely states that it will run at 240 fps, so why are we considering 120 fps here?

Observation builder file
self.boost_timers -= self.tick_skip / 1200 # Pre-normalized, 120 fps for 10 seconds

RLGym reference
:param game_speed: The speed the physics will run at, leave it at 100 unless your game can't run at over 240fps

I don't want to sound presumptuous because I'm far from an expect but wouldn't a physics emulation without graphics allow for a simultaneous training of say 10,000 games at once instead of like 50?

That AI wouldn't be working straight off but if you have a decent emulation wouldn't the bot have a huge head start after a minor adaptation phase?

Would this be of interest if I decide to pursue this further?

I've been trying to train a bot using the training folder in this repository, although I'm not sure if I'm the only one having issues when trying to train it with redis and wandb from docker.
I also tried with the rocket_learn examples and I also used "mklink /d", but I'm having difficulties setting it up.

Could you tell me the steps required to train a bot with the starter files ?

File "C:\Users\example\AppData\Local\necto2\venv\lib\site-packages\rocket_learn\rollout_generator\redis\utils.py", line 60, in _unserialize_model
agent = pickle.loads(buf)
ModuleNotFoundError: No module named 'multi_stage_discrete_policy'
Press any key to continue . . .