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![image](https://user-images.githubusercontent.com/13688320/86313332-6f144f00-bc57-11ea-9498-42f553f135d4.png)
![image](https://user-images.githubusercontent.com/13688320/86313368-80f5f200-bc57-11ea-…
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Sunny.
type conversion error occurs when training is started:
"Conversion of Python
element at position 1 to type ‘double’ failed....
![error](https://user-images.githubusercontent.com/11601393…
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Hi,
while working on a PyTorch DQN agent for BSuite experiments, I noticed quite bad results on the mnist and mountain car experiments. I see that a similar question was addressed [here](https://gi…
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⚠ Have you searched for similar, already existing issues?
**Describe the issue**
Routing a car journey takes user over dangerous passes that are not ideal for most motorists. Can be cycled if you'…
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Hello @wouterwln, thank you very much for this fantastic package!
In [ActInf ModelStream 010.2](https://www.youtube.com/watch?v=ygmAhA18mkQ), I see that you have used a "MountainCarAgents" package.…
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Hello, the algo doesn't work for continuous_mountain_car, because it's reward is -pow(action[0],2)*0.1. What means, the car's initial state is a local max reward, all the exploration will decrease the…
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Given the input
`Ray drive his car on a steep mountain road. | Ray was fine but his car was totaled.`
the ranked hypothesis is
`The car is car, The car is at the top of the mountain, The car is…
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- Mountain car environment is finished (see `mountaincar.py`), but RL is very basic and doesn't succeed
- TODO: Make RL succeed, then make it into a nice RL quickstart example
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In https://github.com/dennybritz/reinforcement-learning/blob/master/PolicyGradient/Continuous%20MountainCar%20Actor%20Critic%20Solution.ipynb,
I found every time step, the actor and value function a…
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Email:
https://mail.google.com/mail/u/0/#inbox/KtbxLxglpmsDTVTzzsRrTXlhbZSDGJfnNV
2024 Tesla Model Y AWD:
# Quick summary:
Tesla range loss with lift kit: 7.2% avg. when averaged over mo…