robertoschiavone / flappy-bird-env

Flappy Bird as a Farama Gymnasium environment.

Hello, I'm Roberto.

MSc Artificial Intelligence @ VU Amsterdam

I'm a passionate researcher leveraging the power of artificial intelligence and deep learning to unlock the limitless potential of intelligent systems, pioneering advancements that shape the future of technology and revolutionize the way we interact with the world.

Technical skills

Connect with me

flappy-bird-env's Issues

rgb array returns black image

Hi,

I was trying to implement this into my RL project

import flappy_bird_env  # noqa
import gymnasium
import matplotlib.pyplot as plt
from gymnasium.wrappers import GrayScaleObservation
from stable_baselines3.common.vec_env import DummyVecEnv, VecFrameStack

env = gymnasium.make("FlappyBird-v0", render_mode="human") # if I change this into rgb_array, it returns black or 000
env = GrayScaleObservation(env, keep_dim=True)
env = DummyVecEnv([lambda: env])

state = env.reset()
# take step from sample
action = env.action_space.sample()
observation, reward, done, info = env.step([action])
print(observation[0])
plt.imshow(observation[0])
plt.show()

the option to use render_mode "rgb_array" doesn't work as it returns black image so I would have to use "human", could you take a look at this?

how can i customize the env?

I want to stack 4 frame instead of 3 frame and covert rgb color to gray scale. How can I do that?