How to run python example on Linux about retro-learning-environment

[nadavbh12]

The .so file should be of the core (Atari or Snes).
For snes it should be in snes9x2010/snes9x2010-libretro.so.

I'll add the instructions to help avoid confusion.

[4SkyNet]

Thx, it loads! ...but then I've got a segmentation fault

Warning: couldn't load settings file:
R.L.E: Retro Learning Environment (version 0.5.0)
[Based upon the Arcade Learning Environment (A.L.E)]
[Powered by LibRetro]
Use -help for help screen.
[inf] Frontend supports RGB565 - will use that instead of XRGB1555.

Sound buffer size: 128000 (32000 samples)
Core loaded

[inf] No ROM file header found.

Map_LoROMMap

PPU.RenderSub = 0
PPU.FullClipping = 1
Settings.Transparency = 1
Settings.SpeedhackGameID = 0
PPU.SFXSpeedupHack = 0
coldata_update_screen = 1
[inf] "MORTAL KOMBAT" [checksum ok] LoROM, 16Mbits, ROM, NTSC, SRAM:0Kbits, ID:____, CRC32:DEF42945
Running ROM file...
Random seed is 123

Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)

[nadavbh12]

Sorry for the delayed response, didn't notice your comment earlier.
Please give it another try and let me know if you still have this issue.

[tohnperfect]

I also got the same error with v1.0.2 .

Warning: couldn't load settings file:
R.L.E: Retro Learning Environment (version 1.0.0)
[Based upon the Arcade Learning Environment (A.L.E)]
[Powered by LibRetro]
Use -help for help screen.
[inf] Frontend supports RGB565 - will use that instead of XRGB1555.
Sound buffer size: 128000 (32000 samples)
Core loaded
[inf] No ROM file header found.
Map_LoROMMap
PPU.RenderSub = 0
PPU.FullClipping = 1
Settings.Transparency = 1
Settings.SpeedhackGameID = 7
PPU.SFXSpeedupHack = 0
coldata_update_screen = 0
[inf] "SUPER MARIOWORLD" [checksum ok] LoROM, 4Mbits, ROM+RAM+BAT, NTSC, SRAM:16Kbits, ID:____, CRC32:B19ED489
Running ROM file...
Random seed is 123
Segmentation fault (core dumped)

[nadavbh12]

Please make sure that the name of the rom on your file system is identical to that in the rom file.

[tohnperfect]

Thank you very much @nadavbh12, I am able run the example code now.

Supposedly, tutorial, more examples, and how to use the RLE can be found in the ALE?

[nadavbh12]

You're welcome.
Not sure what you're asking. Could you rephrase that?

[tohnperfect]

Where I could find more examples and tutorial of your library? Should I start with the ALE? Thank you for making this great library.

…

On Feb 6, 2017 9:36 PM, "nadavbh12" ***@***.***> wrote: You're welcome. Not sure what you're asking. Could you rephrase that? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#5 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADOnvZm9Re_Mi7ZJbIM2Y7KxkGpseBAvks5rZ5JAgaJpZM4K6UgB> .

[nadavbh12]

Basically any repository you find online which uses ALE can easily be replaced by RLE.
You can check out this fork of deep_q_rl to run DQN with RLE.

[tohnperfect]

Great! Thank you very much for the pointer.

…

On Feb 6, 2017 9:57 PM, "nadavbh12" ***@***.***> wrote: Basically any repository you find online which uses ALE can easily be replaced by RLE. You can check out this <https://github.com/nadavbh12/deep_q_rl> fork of deep_q_rl to run DQN with RLE. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#5 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADOnvdx_B64ZXdDwz8wt3tqpuvU-Gx03ks5rZ5dLgaJpZM4K6UgB> .