ethanabrooks / hsr-env

An environment conforming to OpenAI Gym standard for the Toyota Human Support Robot
11 stars 3 forks source link

define the reward #3

Open yani-rl-ai opened 3 years ago

yani-rl-ai commented 3 years ago

Hi @ethanabrooks. currently i am working with HSR for reinforcement learning. i have got a lot of insight from your code. I have tried to run your code by using SAC for stable-baseline frameworks, it spent very long time but it was difficult to get the optimum behavior. However, i do not understand how do you calculate and define the reward for pick and place problem(hsr-env). What kind of reinforcement learning algorithm that you used for this environment? how long did you spend to get the converge results for this environment? i saw your another repository of HSR environment and i understand how did you define the reward and negative reward, but the repository is quite old. https://github.com/ethanabrooks/hsr can you explain to me how do you define the reward in this "hsr-env"

ethanabrooks commented 3 years ago

Hi Mohamad. This repository is not maintained any more. Why don't you let me know what you are working on and I can suggest some better options.

yani-rl-ai commented 3 years ago

hi @ethanabrooks thank you for your answer, can you suggest me the better options that relate to HSR robot with gym environment?

ethanabrooks commented 3 years ago

Let me first ask: do you need to use the HSR robot? There are other robotics simulators that are better supported for reinforcement learning.

yani-rl-ai commented 3 years ago

yes, actually i need HSR for RL

ethanabrooks commented 3 years ago

I see. Do you have any restrictions in terms of the deep learning / autograd framework that you use?

yani-rl-ai commented 3 years ago

No, any approach is okay with me.

On Thu, 8 Apr 2021, 02:35 Ethan Brooks, @.***> wrote:

I see. Do you have any restrictions in terms of the deep learning / autograd framework that you use?

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/ethanabrooks/hsr-env/issues/3#issuecomment-815096550, or unsubscribe https://github.com/notifications/unsubscribe-auth/ALTIY2QTUWB7JFPBWS5TUS3THSJXTANCNFSM42GFHCUQ .