deeptraffic | deep reinforcement learning competition , part of the MIT | Machine Learning library

 by   lexfridman JavaScript Version: Current License: MIT

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kandi X-RAY | deeptraffic Summary

kandi X-RAY | deeptraffic Summary

deeptraffic is a JavaScript library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. deeptraffic has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

DeepTraffic - Visualization - Leaderboard - Documentation - Paper - MIT Deep Learning [ GitHub | Website ].
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              deeptraffic has a medium active ecosystem.
              It has 1646 star(s) with 254 fork(s). There are 60 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 5 open issues and 2 have been closed. On average issues are closed in 9 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of deeptraffic is current.

            kandi-Quality Quality

              deeptraffic has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              deeptraffic is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              deeptraffic releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            deeptraffic Key Features

            No Key Features are available at this moment for deeptraffic.

            deeptraffic Examples and Code Snippets

            No Code Snippets are available at this moment for deeptraffic.

            Community Discussions

            Trending Discussions on deeptraffic

            Reward Function in MIT Deep Traffic Challenge?

            QUESTION

            Reward Function in MIT Deep Traffic Challenge?
            Asked 2018-Jul-20 at 18:12

            I have been playing around with the MIT DeepTraffic Challenge Also watching the lecture and reading the slides

            After getting a General understanding of the architecture I was wondering what exactly the reward function given by the Environment is.

            1. Is it the same as the Input of the gridcell (max. drivable Speed)?
            2. And are they using Reward Clipping, or not?

            I also found this javascript Codebase, which does not really help my understanding either.

            ...

            ANSWER

            Answered 2018-Jul-20 at 18:12

            The reward is scaled average speed within the interval: [-3, 3].

            The implementation of the deeptraffic environment locates in this file: https://selfdrivingcars.mit.edu/deeptraffic/gameopt.js

            I'm trying to make it readable. Here's the WIP one: https://github.com/mljack/deeptraffic/blob/master/gameopt.js

            Source https://stackoverflow.com/questions/50989406

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

            Vulnerabilities

            No vulnerabilities reported

            Install deeptraffic

            You can download it from GitHub.

            Support

            See Documentation page for more details and hints and how to submit to the competition.
            Find more information at:

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