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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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Some problems about how to replicate the results #25

Closed George-Lu-ZA closed 1 year ago

George-Lu-ZA commented 1 year ago

Hi, I am very interested in this project and I really want to replicate the figures shown in the paper. However, after I isntall the dependency and run the jupyter example code, I find the example is a little bit simple, which I mean it just show how to load the net and give a action prediction in a moment. I wonder if there are some decumentation or code that show how to use the network, agent and util python file to draw a obstacle avoidance figure just like shown in the paper. I am also curious about how to use the data in the dataset you provided along with the already existed network module in the code to give some results. Hope I describe my problems clearly. Thank you.

mfe7 commented 1 year ago

this repo is just a ros wrapper for the policy whereas this gym repo has more of what it sounds like you're looking for

George-Lu-ZA commented 1 year ago

Ok, I will look at that repo. Thanks for your reply!

---- Replied Message ---- | From | Michael @.> | | Date | 05/17/2023 23:25 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [mit-acl/cadrl_ros] Some problems about how to replicate the results (Issue #25) |

this repo is just a ros wrapper for the policy whereas this gym repo has more of what it sounds like you're looking for

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