[Final experiments - RL-Baseline] experiment #1 with seed 7081960 #57
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log_interval 5
* Using GPU * Actually using gpu * Adding the running reward to tensorboard * Substituted a hardcoded path for the proper param * Added a getitem into Actions class... * Removing the actions class: pretty unnecesary * Updating .gitignore and install.sh script Co-authored-by: ziri <ziritrion@gmail.com>
Co-authored-by: ziritrion <ziritrion@gmail.com>
Co-authored-by: ziritrion <ziritrion@gmail.com>
…sode, successful training)
…-wo-rl into RL-baseline-new-model Trying to solve conflicts
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Final experiment with our REINFORCE with Baseline algorithm implementation. showing a final reward of 553 after 20,000 episodes with a preset seed of value 7081960.
The Learning Rate for this experiment was 1*10e-3.
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:
