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rpocket-brawlgym

A Gym-like environment for Reinforcement Learning in Brawlhalla.

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GITHUB · launched Oct 18, 2026 · 74 upvotes (top 20%)

Similar launches

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Could you build this?

No Building a reinforcement learning environment for a proprietary closed-source game like Brawlhalla requires reverse engineering the game binary, memory inspection, and hooking game states.

What it would actually take: Developers must reverse-engineer the game's executable using tools like Ghidra or x64dbg to find dynamic memory offsets for character coordinates, states, and hitboxes. The architecture requires writing a low-level C++ injection DLL or memory reader coupled with simulated controller inputs (via vJoy or Windows input injection) and wrapping it into a Python Gymnasium-compliant interface.

Competitors

Other products that read as similar to this one : 1693 launches clear the similarity bar, closest 8 shown.

Attention rank: #284 of 1694 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 354 days after the earliest competitor.

Other launches for this product

More details
External ID
1424205856
Company
n/a
Product
rpocket-brawlgym
Website domain
github.com
Cohort
n/a
Upvotes percentile
0.80
All tags
brawlhalla, brawlhalla-api, brawlhalla-bots, brawlhalla-mod, gym-environment, reinforcement-learning
AI summary
reinforcement learning gym environment for brawlhalla
Manually corrected
No