Hey Daniel, thanks for the video again, would you like to make a futher video for how to apply RL or IRL using custom env (pybullet)? like combining the procedures of custom env and RL
Hi, i am currently working on that very topic, but do not expect to have it released for at least a couple months because i barely begun, have very little time to work on it, and it takes quite a bit of time. Please let me know what papers and algorithms you are referring to as far as IRL so i can review them in addition to the resources that i am using.
@@danieleid8528 Hi Daniel, really gald to recevie your reply. I am also working on that topic now, and im trying to apply IRL for robotic application, like grasping or peg-in-hole or some other touch-rich manipulation tasks. I found AIRL was quite interesting cos it can get expert's policy just using actions and observation. the paper im focusing on is 'learning robust rewards with adversarial inverse reinforcement learning', here is the link : arxiv.org/abs/1710.11248 best regards
This is a great tutorial man, thank you. Also is there a group or opensource project community where I can learn more about this? Actually I am a reinforcement learning enthusiast and want to apply it here.
The video is all I needed to get started, amazing! Thanks for the effort
Best tutorial about this topic so far!
Relay thanks man it's a great tutorial
Excellent video, thank you!
it's really helpful thank you so much!!
Great tutorial man! Keep it up
Great tutorial!
Thanks for the tutorial
Hey Daniel,
thanks for the video again,
would you like to make a futher video for how to apply RL or IRL using custom env (pybullet)?
like combining the procedures of custom env and RL
Hi, i am currently working on that very topic, but do not expect to have it released for at least a couple months because i barely begun, have very little time to work on it, and it takes quite a bit of time. Please let me know what papers and algorithms you are referring to as far as IRL so i can review them in addition to the resources that i am using.
@@danieleid8528 Hi Daniel, really gald to recevie your reply. I am also working on that topic now, and im trying to apply IRL for robotic application, like grasping or peg-in-hole or some other touch-rich manipulation tasks. I found AIRL was quite interesting cos it can get expert's policy just using actions and observation. the paper im focusing on is 'learning robust rewards with adversarial inverse reinforcement learning', here is the link : arxiv.org/abs/1710.11248
best regards
Thank you very much :)
Thank you, how do i add custom .obj files into the environment? I am working on robot that has to pick a custom object.
so nice video
This is a great tutorial man, thank you. Also is there a group or opensource project community where I can learn more about this? Actually I am a reinforcement learning enthusiast and want to apply it here.