gym-minigrid | Minimalistic gridworld package for OpenAI Gym | Reinforcement Learning library

 by   maximecb Python Version: Current License: Apache-2.0

kandi X-RAY | gym-minigrid Summary

kandi X-RAY | gym-minigrid Summary

gym-minigrid is a Python library typically used in Artificial Intelligence, Reinforcement Learning applications. gym-minigrid has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install gym-minigrid' or download it from GitHub, PyPI.

Minimalistic gridworld package for OpenAI Gym
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            kandi-support Support

              gym-minigrid has a medium active ecosystem.
              It has 1164 star(s) with 308 fork(s). There are 35 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 66 have been closed. On average issues are closed in 10 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of gym-minigrid is current.

            kandi-Quality Quality

              gym-minigrid has 0 bugs and 0 code smells.

            kandi-Security Security

              gym-minigrid has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              gym-minigrid code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              gym-minigrid is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              gym-minigrid releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              gym-minigrid saves you 1458 person hours of effort in developing the same functionality from scratch.
              It has 3287 lines of code, 278 functions and 34 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed gym-minigrid and discovered the below as its top functions. This is intended to give you an instant insight into gym-minigrid implemented functionality, and help decide if they suit your requirements.
            • Places a room .
            • Return a string representation of the agent .
            • Connect all rooms .
            • Render a tile .
            • Key event handler
            • Decode an object .
            • Returns a function that evaluates to a point on a line .
            • Checks if a point is in triangle coordinates .
            • Convert an observation into a numpy array .
            • Add a door .
            Get all kandi verified functions for this library.

            gym-minigrid Key Features

            No Key Features are available at this moment for gym-minigrid.

            gym-minigrid Examples and Code Snippets

            Grid-world environment
            Pythondot img1Lines of Code : 10dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            cd gym-minigrid
            pip install -e .
            
            cd ../torch_rl/torch_rl
            pip install -e .
            
            python -m scripts.train --frames 100000000 --algo ppo --env MiniGrid-MultiRoom-N3r-v0 --model N3r-vib1e6 --save-interval 100 --tb --fullObs --model_type default2 --use_bottle  
            BabyAI++,Getting started
            Pythondot img2Lines of Code : 8dot img2License : Permissive (BSD-3-Clause)
            copy iconCopy
            git clone --recursive https://github.com/caotians1/BabyAIPlusPlus.git
            
            conda install pytorch=1.2.0 torchvision -c pytorch
            conda install pyqt
            pip install lorem tensorboardX blosc gym
            
            cd gym-minigrid
            pip install --editable .
            cd ../babyai
            pip install -  
            Regression Planning Networks
            Pythondot img3Lines of Code : 6dot img3License : Permissive (MIT)
            copy iconCopy
            @inproceedings{xu2019rpn,
              title={Regression Planning Networks},
              author={Xu, Danfei and Martín-Martín, Roberto and Huang, De-An and Zhu, Yuke and Savarese, Silvio and Fei-Fei, Li},
              booktitle={Thirty-third Conference on Neural Information Process  
            Matplotlib deprecation warning running through ubuntu application
            Pythondot img4Lines of Code : 3dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            self.ax.set_xticks([])
            self.ax.set_yticks([])
            

            Community Discussions

            QUESTION

            Changing the speed of a periodically appearing object in grid
            Asked 2020-Aug-03 at 20:29

            I'm working in the minigrid environment. I currently have an object moving across the screen at one grid space per step count (from left to right). This object periodically appears currently half time on screen, and half off. I'd like to slow down the object so that it moves slower across the screen. I'm not sure how to do it without losing the periodic appearance attribute. Current code is below:

            ...

            ANSWER

            Answered 2020-Aug-03 at 20:29

            I got something to work. The below snippet includes an integer titled "slow_factor" that reduces the speed yet still has the idx useful for the original purpose.

            Source https://stackoverflow.com/questions/63079830

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install gym-minigrid

            There is now a pip package available, which is updated periodically:.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            git@github.com:maximecb/gym-minigrid.git

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