ppo-LunarLander-v2 Taimisson · COMPLETED
This repository contains an implementation of the Proximal Policy Optimization (PPO) algorithm applied to the LunarLander-v2 environment from OpenAI Gym. The goal is to train an agent capable of safely landing the lunar module by learning through interactions with the environment.
github.com/Taimisson/ppo-LunarLander-v2 · ★ 1 · Forks 0 · Size 158 KB
SUMMARY
Technologies 2
Scored 2
Observed 2
Practices 6
Evidence 2
Skips 0
COVERAGE
Analyzed 12 files · 2 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-01-22
Last commit 2025-01-22
Active months 1
Commits 2