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mit-acl / cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
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How to train the network? #10

Closed BingHan0458 closed 3 years ago

BingHan0458 commented 3 years ago

Dear authors: My research is focused on pedestrian obstacle avoidance algorithm. I have recently read your paper. I try to run 'network.py' and 'demo.py' but I found that there are all trained models, and I don't know how to train the network? If I want to change some parameters and train this network, how should I do? Thank you very much for your kind consideration and I am looking forward to your early reply.

mfe7 commented 3 years ago

Hi - the training code is hosted in a separate repo: https://github.com/mit-acl/rl_collision_avoidance

On Tue, Dec 1, 2020 at 8:25 AM BingHan0458 notifications@github.com wrote:

Dear authors: My research is focused on pedestrian obstacle avoidance algorithm. I have recently read your paper. I try to run 'network.py' and 'demo.py' but I found that there are all trained models, and I don't know how to train the network? If I want to change some parameters and train this network, how should I do? Thank you very much for your kind consideration and I am looking forward to your early reply.

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