quoridor | A simple quoridor game server in Rust | Game Engine library

 by   millerjs Rust Version: Current License: No License

kandi X-RAY | quoridor Summary

kandi X-RAY | quoridor Summary

quoridor is a Rust library typically used in Gaming, Game Engine applications. quoridor has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A quoridor game server implementation in Rust using Iron.
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            kandi-support Support

              quoridor has a low active ecosystem.
              It has 5 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 4 have been closed. On average issues are closed in 92 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of quoridor is current.

            kandi-Quality Quality

              quoridor has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              quoridor does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              quoridor releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            quoridor Key Features

            No Key Features are available at this moment for quoridor.

            quoridor Examples and Code Snippets

            No Code Snippets are available at this moment for quoridor.

            Community Discussions

            QUESTION

            Store Grid N*N into an Adjacency Graph? Position and Neighbors
            Asked 2021-Dec-09 at 18:08

            Updating this post, once again.

            This time to make things clearer. I am trying, to parse in a Grid of size 9x9, but this size can change overtime, its not fixed. This is a board game called Quoridor. What I have at my disposal, is a Board class. This provides me with the following, horizontal bool[,], and vertical bool[,], I can loop over each and print out x, y position. But these differ, depending on if its horizontal direction, or vertical direction and position.

            The player can move one step ONLY either north, south, west, or east in terms of direction. The other player (human) can put a wall (obstacle) which covers two blocks horizontally or vertically. My automated player has to build a Graph of Nodes from the board, and refresh the Graph based on the changes on the board and its own position. For example, if the player cannot go to left, from current position, then an edge which connects two nodes will be deleted between them, only if caused by an obstacle. And then the BFS will run again against the Graph and return a new position (x, y) which this (automated) player uses and performs its move.

            Every single block on the 9x9 grid, will represent one Node in the Graph. Meaning the number of vertices or nodes List in the Graph will be 9x9=81. Each of the Nodes hold a list or 2D array of size 4 for representing North, South, West, and East which could be of a bool type.

            Now, I have provided a sample code of the Graph class I wrote along with a Node class. I hope the latest information herein makes it clear. I have already implemented the BFS algorithm. But this part is what I cannot understand correctly. I watched this video for some ideas: https://www.youtube.com/watch?v=KiCBXu4P-2Y

            Code

            ...

            ANSWER

            Answered 2021-Nov-24 at 22:11

            Based on what you said I understand your question as follows: How the to handle Nodes that on the edges like (x=0,y=0), (x=9,y=5) or (x=9.y=9) ..... you should handle 8 cases

            for case of left top corner the node only have 2 neighbors so set the top and left neighbors Null

            Source https://stackoverflow.com/questions/69972021

            QUESTION

            Can I apply softmax only on specific output neurons?
            Asked 2021-Apr-03 at 18:46

            I am building an Actor-Critic neural network model in pytorch in order to train an agent to play the game of Quoridor (hopefully). For this reason, I have a neural network with two heads, one for the actor output which does a softmax on all the possible moves and one for the critic output which is just one neuron (for regressing the value of the input state).

            Now, in quoridor, most of the times not all moves will be legal and as such I am wondering if I can exclude output neurons on the actor's head that correspond to illegal moves for the input state e.g. by passing a list of indices of all the neurons that correspond to legal moves. Thus, I want to not sum these outputs on the denominator of softmax.

            Is there a functionality like this on pytorch (because I cannot find one)? Should I attempt to implement such a Softmax myself (kinda scared to, pytorch probably knows best, I ve been adviced to use LogSoftmax as well)?

            Furthermore, do you think this approach of dealing with illegal moves is good? Or should I just let him guess illegal moves and penalize him (negative reward) for it in the hopes that eventually it will not pick illegal moves?

            Or should I let the softmax be over all the outputs and then just set illegal ones to zero? The rest won't sum to 1 but maybe I can solve that by plain normalization (i.e. dividing by the L2 norm)?

            ...

            ANSWER

            Answered 2021-Apr-03 at 18:46

            An easy solution would be to mask out illegal moves with a large negative value, this will practically force very low (log)softmax values (example below).

            Source https://stackoverflow.com/questions/66930752

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

            Vulnerabilities

            No vulnerabilities reported

            Install quoridor

            To build and run, install Rust 1.3.0 and Cargo. (Rust dependencies will be installed automatically.).

            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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            CLONE
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            https://github.com/millerjs/quoridor.git

          • CLI

            gh repo clone millerjs/quoridor

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            git@github.com:millerjs/quoridor.git

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