ghidra-tlcs900h
retro
ghidra-tlcs900h | retro | |
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1 | 6 | |
9 | 3,320 | |
- | 0.4% | |
7.3 | 0.6 | |
4 months ago | 3 months ago | |
Java | C | |
- | MIT License |
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ghidra-tlcs900h
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Show HN: Ghidra Plays Mario
I've been exploring new ways of testing Ghidra processor modules. In this repo, I was able to emulate NES ROMs in Ghidra to test its 6502 specification, which resulted in finding and fixing some bugs.
Context: Ghidra is used for reverse engineering binary executables, complementing the usual disassembly view with function decompilation. Each supported architecture has a SLEIGH specification, which provides semantics for parsing and emulating instructions, not unlike the dispatch handlers you would find in interpreters written for console emulators.
Emulator devs have long had extensive test ROMs for popular consoles, but Ghidra only provides CPU emulation, so it can't run them without additional setup. What I did here is bridge the gap: by modifying a console emulator to instead delegate CPU execution to Ghidra, we can now use these same ROMs to validate Ghidra processor modules.
Previously [1], I went with a trace log diffing approach, where any hardware specific behaviour that affected CPU execution was also encoded in trace logs. However, it required writing hardware specific logic, and is still not complete. With the delegation approach, most of this effort is avoided, since it's easier to hook and delegate memory accesses.
I plan on continuing research in this space and generalizing my approaches, since it shows potencial for complementing existing test coverage provided by pcodetest. If a simple architecture like 6502 had a few bugs, who knows how many are in more complex architectures! I wasn't able to find similar attempts (outside of diffing and coverage analysis from trace logs), please let me know if I missed something, and any suggestions for improvements.
[1]: https://github.com/nevesnunes/ghidra-tlcs900h#emulation
retro
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Show HN: Ghidra Plays Mario
https://github.com/openai/retro:
> Gym Retro lets you turn classic video games into Gym environments for reinforcement learning and comes with integrations for ~1000 games. It uses various emulators that support the Libretro API, making it fairly easy to add new emulators.
.nes is listed in the supported ROM types:
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What has replaced OpenAI Retro Gym?
OpenAI Retro Gym hasn't been updated in years, despite being high profile enough to garner 3k stars. It doesn't even support Python 3.9, and needs old versions of setuptools and gym to get installed.
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Generating expert trajectories for IRL project based on retro NES gym.
The trajectories might not be properly generated (I used a custom wrapper for the retro gym that allows the env to receive human input: Interactive Gym-Retro), so the GAIL agent is just following garbage.
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Can anyone make OpenAI for Age of Empires 2 Definitive Edition?
You can do it yourself. Maybe with retro
- Need help loading a file for use in a Python script (Gym Retro - Brute)
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Trying to create an AI that can play a video game.
Another alternative is OpenAI gyms. For example, this supports NES, SNES, and GB.
What are some alternatives?
ghidra - Ghidra is a software reverse engineering (SRE) framework
ghidra-plays-mario - Playing NES ROMs with Ghidra's PCode Emulator
Muzero-unplugged - Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
Gymnasium - An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
6502_65C02_functional_tests - Tests for all valid opcodes of the 6502 and 65C02 processor
switcher - Gnome Shell extension to switch windows quickly by typing
MO-Gymnasium - Multi-objective Gymnasium environments for reinforcement learning