SenseAct | computational framework | Reinforcement Learning library
kandi X-RAY | SenseAct Summary
kandi X-RAY | SenseAct Summary
SenseAct is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning applications. SenseAct has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
This repository provides the implementation of several reinforcement learning tasks with multiple real-world robots. These tasks come with an interface similar to OpenAI-Gym so that learning algorithms can be plugged in easily and in a uniform manner across tasks. All the tasks here are implemented based on a computational framework of robot-agent communication proposed by Mahmood et al. (2018a), which we call SenseAct. In this computational framework, agent and environment-related computations are ordered and distributed among multiple concurrent processes in a specific way. By doing so, SenseAct enables the following:.
This repository provides the implementation of several reinforcement learning tasks with multiple real-world robots. These tasks come with an interface similar to OpenAI-Gym so that learning algorithms can be plugged in easily and in a uniform manner across tasks. All the tasks here are implemented based on a computational framework of robot-agent communication proposed by Mahmood et al. (2018a), which we call SenseAct. In this computational framework, agent and environment-related computations are ordered and distributed among multiple concurrent processes in a specific way. By doing so, SenseAct enables the following:.
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SenseAct has a low active ecosystem.
It has 194 star(s) with 39 fork(s). There are 12 watchers for this library.
It had no major release in the last 12 months.
There are 19 open issues and 10 have been closed. On average issues are closed in 48 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of SenseAct is v0.1.0
Quality
SenseAct has 0 bugs and 0 code smells.
Security
SenseAct has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
SenseAct code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
SenseAct is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
SenseAct releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
SenseAct saves you 3026 person hours of effort in developing the same functionality from scratch.
It has 6523 lines of code, 486 functions and 64 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed SenseAct and discovered the below as its top functions. This is intended to give you an instant insight into SenseAct implemented functionality, and help decide if they suit your requirements.
- Reset the camera
- Wait until we are unwinded
- Wait until the device is charging
- Write an opcode
- Handles actuator
- Read data from the buffer
- Return the number of updated values
- Reset the video
- Unwind the vehicle
- Write the given opcode to the action
- Compute the action
- Convert an accel value to a maximum value
- Reset random angles
- Run the main loop
- Start the daemon
- Close gripper mode
- Compute the actual sensation
- Start the communication loop
- This method is called when the actuator changes
- Returns a list of solutions that correspond to the given parameters
- Compute the sensor data
- Compute the sensor
- Reset the simulation
- Compute sensor interaction
- Handle received packets
- Start the device
- Reset the sensor
- Called when the device is listening
Get all kandi verified functions for this library.
SenseAct Key Features
No Key Features are available at this moment for SenseAct.
SenseAct Examples and Code Snippets
No Code Snippets are available at this moment for SenseAct.
Community Discussions
Trending Discussions on SenseAct
QUESTION
With React Router : How to render a component multiple times with differents props each time in a Route?
Asked 2019-Dec-19 at 09:56
So far I have this working but how to render a second Line_json under the first one with different props like senseAction isnegatif in the same path economie ?
...ANSWER
Answered 2019-Dec-19 at 04:17the render function is just like a regular render, so you can add two times your component
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SenseAct
SenseAct uses Python3 (>=3.5), and all other requirements are automatically installed via pip.
git clone https://github.com/kindredresearch/SenseAct.git
cd SenseAct
pip install -e . or pip3 install -e . depends on your setup
git fetch --all --tags
git checkout tags/v0.1.1
Dynamixels can be controlled by drivers written using either ctypes by Robotis or pyserial, which can be chosen by passing either True (ctypes) or False (pyserial) as an argument to the use_ctypes_driver parameter of a Dynamixel-based task (e.g., see examples/advanced/dxl_reacher.py). We found the ctypes-based driver to provide substantially more timely and precise communication compared to the pyserial-based one.
git clone https://github.com/kindredresearch/SenseAct.git
cd SenseAct
pip install -e . or pip3 install -e . depends on your setup
git fetch --all --tags
git checkout tags/v0.1.1
Dynamixels can be controlled by drivers written using either ctypes by Robotis or pyserial, which can be chosen by passing either True (ctypes) or False (pyserial) as an argument to the use_ctypes_driver parameter of a Dynamixel-based task (e.g., see examples/advanced/dxl_reacher.py). We found the ctypes-based driver to provide substantially more timely and precise communication compared to the pyserial-based one.
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