rl-action-space-shaping
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Obstacle Tower in headless-mode
Hi, thank you for sharing your work!
I am trying to run your code for Obstacle Tower on a cluster but I keep getting timeout errors from ml-agents
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/mlagents/envs/rpc_communicator.py", line 86, in initialize
"The Unity environment took too long to respond. Make sure that :\n"
mlagents.envs.exception.UnityTimeOutException: The Unity environment took too long to respond. Make sure that :
The environment does not need user interaction to launch
The Academy's Broadcast Hub is configured correctly
The Agents are linked to the appropriate Brains
I think it is due to the fact that I am running it in headless mode. Did you run into a similar issue? Any idea on how to run it in headless mode using xvfb?
Thanks in advance!