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I spent a lot of time trying to understand the colab cartpole Gym example so to apply to a custom discrete Gym environment, which is similar to the cartpole gym environment and works fine with a Keras…
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### 🐛 Bug
When calling
```python
from stable_baselines3.common.evaluation import evaluate_policy
def custom_callback(locals, globals):
pass
evaluate_policy(callback=custom_callback)
``…
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Traceback (most recent call last):
File "D:/code/DRL/xuance-master-1/examples/qmix/qmix_rware.py", line 311, in
runner = Runner(args)
File "D:/code/DRL/xuance-master-1/examples/qmix/qmix_r…
Yu-zx updated
4 months ago
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I want to ask, how should I train my scene environment to run, I see you input is a trained file, you can tell me, how should I train my scene environment
Yu-zx updated
4 months ago
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When installing `lb-foraging` with certain versions of `gym`, the import hangs for a (very) long time.
Consider a simple script, `import_tests.py`:
```py
from time import time
start = time()
im…
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建議
1. 不要用機器學習,神經網路,直接用手寫固定策略來解決
2. 記得先了解 Observation 與 Action ,再開始寫程式
參考
1. https://gymnasium.farama.org/environments/classic_control/cart_pole/
2. [cartpole_human_run.py](https://github.c…
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Hi,
I just started looking into that repo and went into troubles when trying to import the package in Python. I set up a new virtual environment with only whynot and dependencies installed (Python…
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I have installed gym-soccer and I want to create the gym-soccer environment by running:
import gym
env = gym.make('Soccer-v0')
but it failed. What's the problem? I didn't find any examples using …
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Hello, thank you very much for your contribution. The Modular-Agent has been incredibly useful and powerful for completing RL/IL training in the Unity.
I have been using the Modular-Agent for an in…
HYS-5 updated
2 months ago
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Hi,
I have been studying reinforcement learning a little bit.
I was aiming to combine Proximal Policy Optimization sample from https://github.com/philtabor/Youtube-Code-Repository/tree/master/Rei…