softgym | benchmark environments for deformable object manipulation | Reinforcement Learning library
kandi X-RAY | softgym Summary
kandi X-RAY | softgym Summary
SoftGym is a set of benchmark environments for deformable object manipulation including tasks involving fluid, cloth and rope. It is built on top of the Nvidia FleX simulator and has standard Gym API for interaction with RL agents. A number of RL algorithms benchmarked on SoftGym can be found in SoftAgent.
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softgym Key Features
softgym Examples and Code Snippets
Community Discussions
Trending Discussions on softgym
QUESTION
I am tying to connect my client to the server socket using socket.io. When I am using http all works fine but when I try to use https the client can't connect.
I try to create the server using http require('https') and using certificates but didn't work.
For now after a few code changes and tests this is how my code is:
Server, index.js
...ANSWER
Answered 2019-Mar-31 at 04:09Seems like your proxy server does not supports WebScokets upgrade. If you are using apache the configuration is not simple. You will have to install mod_proxy_ws_tunnel module to do this.
Follow this link
Web sockets upgrade is a process that user upgrade from HTTP protocol to WebSckets protocol by sending a upgrade header followed by a three way hand shake. You may find some resources about configuring apache with websocket here
Also if apache server is not required, and you can use another proxy serve. Install nginx and your life will get easier. Then simply add this configuration to your nginx configuration.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install softgym
This codebase is tested with Ubuntu 16.04 LTS, CUDA 9.2 and Nvidia driver version 440.64. Other versions might work but are not guaranteed, especially with a different driver version. Please use our docker for other versions.
Create conda environment Create a conda environment and activate it: conda env create -f environment.yml
Compile PyFleX: Go to the root folder of softgym and run . ./prepare_1.0.sh. After that, compile PyFleX with CMake & Pybind11 by running . ./compile_1.0.sh Please see the example test scripts and the bottom of bindings/pyflex.cpp for available APIs.
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