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GitHub / andrewjc / wolf3d-golang

This project combines the power of reinforcement learning with a custom raycasting game engine written in Golang, reminiscent of the classic Wolf3D game.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andrewjc%2Fwolf3d-golang

Stars: 6
Forks: 0
Open issues: 0

License: apache-2.0
Language: Go
Size: 1.25 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 1 year ago
Pushed at: over 2 years ago
Last synced at: over 1 year ago

Commit Stats

Commits: 38
Authors: 2
Mean commits per author: 19.0
Development Distribution Score: 0.158
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/andrewjc/wolf3d-golang

Topics: game, go, golang, machine-learning, ml, python, reinforcement-learning, reinforcement-learning-agent, reinforcement-learning-algorithms, reinforcement-learning-environments, stable-baselines, wolf3d

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