It will be very helpful if you can point me some examples using stable-baselines3. I am still not sure how it comparable to stable-baselines as they have big warning box to compare performance. Appreciated.
According to this table, recurrent networks are not supported yet for A2C. You should use other policies like MlpPolicy. To make this example work with stable-baselines3, put the code below in the section Train Env:
model = A2C('MlpPolicy', env, verbose=1)
model.learn(total_timesteps=1000)
It will be very helpful if you can point me some examples using stable-baselines3. I am still not sure how it comparable to stable-baselines as they have big warning box to compare performance. Appreciated.