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ASCII-rendered single-player dungeon crawl game
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Reinforcement Learning on Musculoskeletal Models
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Round 2 - Active | Claim AWS Credits by beating the baseline
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NeurIPS 2019: Learn to Move - Walk Around
Speed of training
Over 4 years agoThereβs an integrator_accuracy
parameter in the environment constructor, which determines the accuracy of the simulation, a smaller value being more accurate and more time consuming. I believe the default is 0.00005, and Iβve been able to successfully set it up to about 0.005 (the environment crashes with larger values). Example: env=L2M2019Env(integrator_accuracy=0.005)
. It can make a noticeable difference in training speed, but nothing insane.
Wrong Client Version Problem
Over 4 years agoI had this same problem, just reinstalling stuff wouldnβt work for me, but fully creating it all in a new environment worked (i.e. creating opensim-rl2 env).
The promotion code you entered is not valid - Google Cloud
Over 4 years agoYes that works, thank you.
The promotion code you entered is not valid - Google Cloud
Over 4 years agoThe code I received through email for google cloud credits doesnβt work and gives me the error βThe promotion code you entered is not validβ. I remember having this issue last year along with others, and was unable to receive the credits. Am I able to get a new code for this or were the codes just not activated yet?
Observation Dictionary to List Function
Over 4 years agoFor my training and executing I use the list instead of the dict, and I didnβt manage to find a provided way to convert the observation dictionary to a list (as itβs required in submission). So I just made my own method for doing so with consistent ordering: https://gist.github.com/Ryan-Amaral/960c291d7cafe928a725f60f36e1f549, hopefully it is of use to someone else.
Was there actually a provided way to do this that I missed? Oh well, it didnβt take too long either way.
Modification of Environment Physics
Over 4 years agoIs there a relatively simple way to modify certain parameters of the environment, such as gravity level, friction, etc? For example I tried modifying the βGβ variable found in the L2M2019Env class both on the class and instance level, but it seems to make no change. Iβm also starting to look into the osim package code, but not sure if that will pay off.
Observation Dictionary to List Function
Over 4 years agoIt all looks the same to me, I also tested it to make sure the results are the same as using
project=True
andobs_as_dict=False
. Unless Iβm missing something, the only difference I can see is the first 3 velocities of the pelvis being divided byself.LENGTH0
, not sure what that is. But at the very least your method is much more clean and concise.