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This thread is for documenting your experiments with Reinforcement Learning in Tutorial 16.
It is also interesting for others to hear if your experiment failed, so they don't have to repeat the sam…
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I'm interested in creating a framework that would maximize the number of games that could be represented and allow for as much code re-use as possible. Gym is already providing a few classes to help w…
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For groups that have quite a bit of a code-base in ros1 and are not ready to move to ros2, can this package be a practical solution if used in conjunction with the ros1/2 bridge? Or any other arrangem…
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Hi,
I'm working on a small example project, where I make an "environment" that has four degrees of freedom in the action space, so that I can change four properties in State . I'm working in Visual…
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Hello, does the lib support multi-agent environment?
Or more precisely, allow multiple agents share environment state, select their action in parallel, then return the combined actions to the environ…
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I am having trouble understanding this piece of code:
```
def _step(self, action):
"Apply the action and return the next time_step(reward, observation)."
if is_final(self.state…
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In my code I get QueueRunner deprecation warning:
```
QueueRunner.__init__ (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions …
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When I run the code example from the docs for cartpole multiprocessing, it renders one window with all env's playing the game. It also renders individual windows with the same env's playing the same g…
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I am trying to put together a Q-Learning reinforcement-learning example for students using OpenAI Gym with Keras--hopefully from a Jupyter Notebook running in Jupyter Lab. I'd prefer a complete enviro…