Problem on agent

I tested the Obstacle tower environment with local machines.
I confirmed that the action space is consist of 4 numbers in list, like [0, 0, 0, 1]
I submitted a starter kit agent for a test, and it evaluated successfully.

Then, I tested my agent for submission which slightly modified from starter kit.
The modification was to force jump action 0 from env.action_space.sample()
Actual source code is below. It is part of in run_episode(env) function.

while not done:
    action = env.action_space.sample()
    action[2] = 0
    obs, reward, done, info = env.step(action)

From evaluation log, it stuck at step 0.

It is my first try to participate in this kind of challenges, therefore I am not familiar with the environment.
What is the problem with my code?

1 Like

Hi @kyunghyunlee

Can you try this same code from the basic_usage.ipynb ? Also try it with realtime_mode=True when launching the environment.

It runs correctly in my local machines.
Also, set realtime_mode=True doesn’t help.