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## Problem Description
Hello, I started experiments on a new server and built the environment from scratch. And I found that if and only if I ran the code in Mujoco environments, there would be pro…
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Currently, resetting is not consistent due to two things:
- Sampled boundary is random and depends on global np seed (https://github.com/stepjam/RLBench/blob/master/rlbench/backend/spawn_boundary.p…
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### Description
_No response_
### Use case
_No response_
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I'm currently doing a project related to transferring control policies from simulator to simulator. This lead me to try to standardize action and observation spaces between brax and mujoco.
I imple…
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### Question
Hi! I'm trying to build a training process with image input but met the memory leak problem.
Thus, I want to increase memory efficiency using the `FrameStack` wrapper with `lz4_comp…
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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
f…
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Hi, it seems that the current version of RLlib does not support environment rendering – since the gym/gymnasium package changed and there is no longer a rendering module under classic_control from whi…
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Hi @JacopoPan
Thank you for your dedication to maintaining this project. I have noticed several issues with the master branch that seem to limit its functionality.
Could we consider transitioning…
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### Describe the bug
After running the example code for gymnasium from https://gymnasium.farama.org/ (displayed below) in a jupyter notebook and the simulation has finished, my cursor turns into a pi…
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こんにちは。現在開発しているフレームワークがカスタム環境を作成するときに GYM および GYMNASIUM と互換性を持つように設計されているか、それとも EnvBase クラスを使用してフレームワーク内で環境を最初から作成する必要があるのかを知りたいです。