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## Overview
The current version of gym-md (`gym-md==0.5.1`) is breaking due changes introduced in the latest gym version 0.24.1 (i.e. `gym==0.24.1`). Version 0.24.1 of gym was released approximately …
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I'm applying RL to a scheduling problem using a custom environment, and I am interested in deploying the model on live data and see how it works. So all the observations are in the from of a dataframe…
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### Proposal
A way for environment developers to suppress warnings, either globally or on a per-type basis.
### Motivation
I’m developing a simple environment that receives some well-intenti…
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Several RL environments use the convention that `step(action)` should return the reward for taking the action as opposed to the current game score.
Ref: https://github.com/openai/gym/blob/master/gy…
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The goal is to complete/correct our episodical training so that it meets the related scientific standards and our requirements.
- [x] **Definition: Cycle**
Env: get state
Agent: compute action
E…
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Thanks for open sourcing!
This is great and really cool to see the "curtain pulled back" a bit.
Any chance we can have an example using a real environment? Perhaps from openai-gym? Maybe a…
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### What happened + What you expected to happen
Hello, I am having trouble using the 'ALE/Tetris-v5' env with rllib.
When starting training I am getting an error saying
```
(RolloutWorker p…
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Right now, one of the biggest weaknesses of the Gym API is that Done is used for both truncation and termination. The problem is that algorithms in Q learning family (and I assume others), depend on t…
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When initializing a self-defined environment using AsyncVectorEnv,
```
self.envs = gym.vector.AsyncVectorEnv([lambda: gym.make(
id=args.env_name, traj_len=self.args.max_episode_steps) …
DDDOH updated
2 years ago
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#### Problem location
https://github.com/mlpack/mlpack - Exact locations are provided in the description of the issue.
#### Description of problem
#### Broken Links
Have been g…