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[Final experiments - REINFORCE] experiment #3 with seed 190421 #53
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Final experiment with our REINFORCE algorithm implementation. showing a final reward of -11.7 with a preset seed of value 190421.
The Learning Rate hyperparameter for REINFORCE was 1*10^-5, since this was the value that showed best results for training in our experiments.
The action set chosen for all experiments is the following:
[0.0, 0.3, 0.0], # throttle
[0.0, 0.1, 0.0], # throttle
[0.0, 0.0, 0.0], # throttle
[0.0, 0.0, 0.7], # break
[0.0, 0.0, 0.5], # break
[0.0, 0.0, 0.2], # break
[-1.0, 0.0, 0.05], # left
[-0.5, 0.0, 0.05], # left
[-0.2, 0.0, 0.05], # left
[1.0, 0.0, 0.05], # right
[0.5, 0.0, 0.05], # right
[0.2, 0.0, 0.05], # right
TensorBoard screenshots below:
![TensorBoard](https://user-images.githubusercontent.com/1465235/114540695-21049100-9c56-11eb-883d-21fc80f56e33.jpg)
Sample video below:
https://user-images.githubusercontent.com/1465235/114540755-35488e00-9c56-11eb-83c2-0e3f7f20f7a4.mp4