Problem 1276. PONG 002: Rectangle, Interactive Download, Easier Play

Created by Richard Zapor

Solve Later

{"relationships":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/document","targetMode":"","relationshipId":"rId1","target":"/matlab/document.xml"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/output","targetMode":"","relationshipId":"rId2","target":"/matlab/output.xml"}],"parts":[{"partUri":"/matlab/document.xml","relationship":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId1","target":"/media/image1.JPEG"}],"contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Variation of the Original Classic PONG game brought to Cody. PONG 002 is a rectangular board (2000,1000) with slower initial velocities and more precise paddle movement. PONG 2 uses plot and fill versus patches to improve video play. The faster square version is</w:t></w:r><w:r><w:t> </w:t></w:r><w:hyperlink w:docLocation=\"http://www.mathworks.com/matlabcentral/cody/problems/1257-pong-001-player-vs-wall-4-lives-interactive-download\"><w:r><w:t>PONG 001</w:t></w:r></w:hyperlink></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId1\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Attempt to keep the ball alive against a Wall. The ball speeds up on every hit. When it is missed it restarts at a new location. The start locations and sequences are purely deterministic. Movement of the paddle are max up/down steps of -1 to 1 (effective delta 25) or no move. Partial paddle moves allowed.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Paddle center is provided and paddle covers +/- 50 units. The field is rectangular at 2000 by 1000 with 3 walls and the lower left corner being (0,0)</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>To aid in development of your routine, a PONG_Interactive_002a.m file that creates a solver script and video has been posted at</w:t></w:r><w:r><w:t> </w:t></w:r><w:hyperlink w:docLocation=\"https://sites.google.com/site/razapor/matlab_cody/PONG_Interactive_002b.m\"><w:r><w:t>PONG_Interactive_002b.m</w:t></w:r></w:hyperlink><w:r><w:t>. (Right click, 'save link as'). The routine creates a PONG_002_solver.m script from the interactive play. The script demonstrates Interactivity, figure/KeyPressFcn, listdlg, and VideoWriter.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:hyperlink w:docLocation=\"https://sites.google.com/site/razapor/matlab_cody/PONG_002_video_Life1.mp4\"><w:r><w:t>PONG Demo Video</w:t></w:r></w:hyperlink><w:r><w:t> MP4 (Rt Click, Open in New Tab)</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>Inputs:</w:t></w:r><w:r><w:t> (paddle,ball)</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"code\"/></w:pPr><w:r><w:t><![CDATA[ paddle = 500 ; Paddle Center on the Y-axis, Paddle is +/- 50 from center\n ball=[500 500 30 20]; % x y vx vy Positon and Velocity, Treated as a Point]]></w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>Output:</w:t></w:r><w:r><w:t> Direction</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"code\"/></w:pPr><w:r><w:t><![CDATA[ 1 for Up, -1 for Down, 0-No move\n Paddle moves 25*direction, quarter paddle. abs(direction)<=1 is allowed]]></w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>Pass Criteria:</w:t></w:r><w:r><w:t> 15 hits, a score of 425 or better</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>Scoring:</w:t></w:r><w:r><w:t> 100 - 5 * Hits + 100 * Lives, (500 - 5 * hits for &lt; 100 hits)</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>Game Theory:</w:t></w:r><w:r><w:t> Position Paddle to minimize travel to next location. Vx=1.08*Vx and Vy=1.04*Vy after every return.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>Near Future:</w:t></w:r><w:r><w:t> Multi-Ball Three Wall, Paddle vs Paddle (Mirror), Angle variation based on Paddle/Ball Position</w:t></w:r></w:p></w:body></w:document>"},{"partUri":"/matlab/output.xml","contentType":"text/xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\" ?><embeddedOutputs><metaData><evaluationState>manual</evaluationState><layoutState>code</layoutState><outputStatus>ready</outputStatus></metaData><outputArray type=\"array\"/><regionArray type=\"array\"/></embeddedOutputs>"},{"partUri":"/media/image1.JPEG","contentType":"image/JPEG","content":"data:image/JPEG;base64,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"}]}

Variation of the Original Classic PONG game brought to Cody.
PONG 002 is a rectangular board (2000,1000) with slower initial velocities and more precise paddle movement.
PONG 2 uses plot and fill versus patches to improve video play.
The faster square version is <a href = "http://www.mathworks.com/matlabcentral/cody/problems/1257-pong-001-player-vs-wall-4-lives-interactive-download">PONG 001</a><img src = "https://sites.google.com/site/razapor/matlab_cody/PONG2_300.jpg">Attempt to keep the ball alive against a Wall. The ball speeds up on every hit. When it is missed it restarts at a new location. The start locations and sequences are purely deterministic. Movement of the paddle are max up/down steps of -1 to 1 (effective delta 25) or no move. Partial paddle moves allowed.Paddle center is provided and paddle covers +/- 50 units.
The field is rectangular at 2000 by 1000 with 3 walls and the lower left corner being (0,0)To aid in development of your routine, a PONG_Interactive_002a.m file that creates a solver script and video has been posted at <a href = "https://sites.google.com/site/razapor/matlab_cody/PONG_Interactive_002b.m">PONG_Interactive_002b.m</a>. (Right click, 'save link as'). The routine creates a PONG_002_solver.m script from the interactive play. The script demonstrates Interactivity, figure/KeyPressFcn, listdlg, and VideoWriter.<a href = "https://sites.google.com/site/razapor/matlab_cody/PONG_002_video_Life1.mp4">PONG Demo Video</a> MP4 (Rt Click, Open in New Tab)Inputs: (paddle,ball)<pre> paddle = 500 ; Paddle Center on the Y-axis, Paddle is +/- 50 from center
 ball=[500 500 30 20]; % x y vx vy Positon and Velocity, Treated as a Point</pre>Output: Direction<pre> 1 for Up, -1 for Down, 0-No move
 Paddle moves 25*direction, quarter paddle. abs(direction)&lt;=1 is allowed</pre>Pass Criteria: 15 hits, a score of 425 or betterScoring: 100 - 5 * Hits + 100 * Lives, (500 - 5 * hits for &lt; 100 hits)Game Theory: Position Paddle to minimize travel to next location. Vx=1.08*Vx and Vy=1.04*Vy after every return.Near Future: Multi-Ball Three Wall, Paddle vs Paddle (Mirror), Angle variation based on Paddle/Ball Position

Variation of the Original Classic PONG game brought to Cody.
PONG 002 is a rectangular board (2000,1000) with slower initial velocities and more precise paddle movement.
PONG 2 uses plot and fill versus patches to improve video play.
The faster square version is <http://www.mathworks.com/matlabcentral/cody/problems/1257-pong-001-player-vs-wall-4-lives-interactive-download PONG 001>

<<https://sites.google.com/site/razapor/matlab_cody/PONG2_300.jpg>>

Attempt to keep the ball alive against a Wall. The ball speeds up on every hit. When it is missed it restarts at a new location. The start locations and sequences are purely deterministic. Movement of the paddle are max up/down steps of -1 to 1 (effective delta 25) or no move. Partial paddle moves allowed.

Paddle center is provided and paddle covers +/- 50 units.
The field is rectangular at 2000 by 1000 with 3 walls and the lower left corner being (0,0)

To aid in development of your routine, a PONG_Interactive_002a.m file that creates a solver script and video has been posted at <https://sites.google.com/site/razapor/matlab_cody/PONG_Interactive_002b.m PONG_Interactive_002b.m>. (Right click, 'save link as'). The routine creates a PONG_002_solver.m script from the interactive play. The script demonstrates Interactivity, figure/KeyPressFcn, listdlg, and VideoWriter.

<https://sites.google.com/site/razapor/matlab_cody/PONG_002_video_Life1.mp4 PONG Demo Video> MP4 (Rt Click, Open in New Tab)

*Inputs:* (paddle,ball)  
 
   paddle = 500 ; Paddle Center on the Y-axis, Paddle is +/- 50 from center
   ball=[500 500 30 20]; % x y vx vy  Positon and Velocity, Treated as a Point

*Output:* Direction

1 for Up, -1 for Down, 0-No move
 Paddle moves 25*direction, quarter paddle. abs(direction)<=1 is allowed

*Pass Criteria:* 15 hits, a score of 425 or better

*Scoring:* 100 - 5 * Hits + 100 * Lives, (500 - 5 * hits for < 100 hits)

*Game Theory:* Position Paddle to minimize travel to next location. Vx=1.08*Vx and Vy=1.04*Vy after every return.

*Near Future:* Multi-Ball Three Wall, Paddle vs Paddle (Mirror), Angle variation based on Paddle/Ball Position

Solve

Solution Stats

5 Solutions
4 Solvers

Last Solution submitted on Dec 10, 2021

Last 200 Solutions

Solution Comments

Solution 204897

1 Comment

1 Comment

Richard Zapor on 17 Feb 2013

A masterful optimal solution that pre-positions the paddle for minimal movement to return the next ball.

Problem Recent Solvers4

Problem Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Problem 1276. PONG 002: Rectangle, Interactive Download, Easier Play

Solution Stats

Last 200 Solutions

Solution Comments

Problem Recent Solvers4

Suggested Problems

More from this Author260

Problem Tags

Community Treasure Hunt

Problem 1276. PONG 002: Rectangle, Interactive Download, Easier Play

Solution Stats

Last 200 Solutions

Solution Comments

Problem Recent Solvers4

Suggested Problems

More from this Author260

Problem Tags

Community Treasure Hunt

Players