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How can you render the environment using the Tensorforce library? I've tried calling `environment.render`, but it says that the function does not exist. This is my code:
```
from tensorforce.agent…
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Hi,
I was wondering do you happen to have A2C's hyperparams for MuJoCo that can reproduce results close/similar to the PPO paper [PPO paper, Figure 3, and results for A2C]? or any A2C hyperparamete…
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In the Large-Scale Stochastic Variational GP Regression (CUDA) (w/ KISS-GP) notebook (https://gpytorch.readthedocs.io/en/latest/examples/05_Scalable_GP_Regression_Multidimensional/SVDKL_Regression_Gri…
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Currently in the MountainCar-v0 environment, the [timestep_limit is 200](https://github.com/openai/gym/blame/master/gym/envs/__init__.py#L70) which makes learning very difficult: most initial policies…
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`render=True` is confusing, should be that `render_mode="human"` triggers the window
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Thank you so much for sharing this code, truly helpful. However, the agent couldn't learn anything when I trained with "Breakout-ram-v0" and "Pong-ram-vo". I tried different setting, such as:
```
…
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I find the code super interesting and left some random comments on API naming. Take them as a grain of salt! I might start contributing at some point.
rxwei updated
4 years ago
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Hey all,
I'm creating a simulation where a ML agent places objects as far apart as possible from each other within an area. I'd like to do it with a variable number of objects, but I'm having some …
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First, thank you for writing your article and sharing the code on GitHub. It provides a great starting point for someone interested in reinforcement learning.
I have encountered the problem mentio…
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I have a bit of a complex environment which sends many different types of (relatively large) data to the observable space. This requires a custom model with multiple inputs. The ideal model would like…