Comments (4)
If you could clarify what you mean that would help. This repository contains all the code used to achieve the gridworld results published in @avivt's paper. If you are wondering which section of the code actually handles training you are probably looking for this: https://github.com/avivt/VIN/blob/master/vin.py#L96-L123
If you are looking for the two comparison approaches (DQN style CNN, FCN network), they can be found in these two files:
https://github.com/avivt/VIN/blob/master/CNN.py
https://github.com/avivt/VIN/blob/master/FC.py
from vin.
Thanks a lot for your reply. I could not find the code described in Appendix B in original paper, which used TRPO as basic RL algorithm. I'm not sure whether this repository contains all these code.
from vin.
Ah, I misunderstood what you were asking, sorry about that! That code is indeed not include here, perhaps it will be added at some point. However, I believe @avivt's current aim (related to this work) is getting the mars experiment code up. So, hopefully he has time to respond to this at some point 👍
from vin.
Thank you anyway~👍
from vin.
Related Issues (14)
- Cannot generate grid_world data with script_make_data.m HOT 9
- Why not just use Python Packages -Nobody uses the old grandfather called MATLAB HOT 8
- Shape mismatch when taking out the Q values out from ConvNet HOT 3
- Release code for Mars Navigation and Mujoco continuous control ? HOT 9
- Purpose of image_shape and filter_shape in conv2D_keep_shape? HOT 4
- Difficulties in reproducing results from the paper HOT 5
- Release code for Web Navigation ?
- Matlab called python Theano Module Wrong HOT 3
- Does VIN naturally work with reinforcement learning? HOT 1
- Missing a function when running data generation file.
- why l_q equals 10 rather than 8? HOT 1
- why aren't obstacles considered during the rollout testing HOT 3
- Code for hierarchical VI modules
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from vin.