This is the script:
from mario_gpt import MarioLM
mario_lm = MarioLM()
prompts = ["many pipes, many enemies, some blocks, high elevation"]
generated_level = mario_lm.sample(
prompts=prompts,
num_steps=100,
temperature=2.0,
use_tqdm=True
)
play in interactive
generated_level.play()
run Astar agent
generated_level.run_astar()
And I need more num_steps, but the AI lags when it reach more than 100 steps... its possible to get performance with this python library?
This is the script:
from mario_gpt import MarioLM
mario_lm = MarioLM()
prompts = ["many pipes, many enemies, some blocks, high elevation"]
generated_level = mario_lm.sample(
prompts=prompts,
num_steps=100,
temperature=2.0,
use_tqdm=True
)
play in interactive
generated_level.play()
run Astar agent
generated_level.run_astar()
And I need more num_steps, but the AI lags when it reach more than 100 steps... its possible to get performance with this python library?