{"data":{"full_name":"ifrunistuttgart/RL_CrossCountrySoaring","name":"RL_CrossCountrySoaring","description":"This repository includes a reinforcement learning framework for solving the tactical decision-making problem subject to cross-country soaring (by the example of the competition task of GPS Triangle racing).","stars":11.0,"forks":0.0,"language":"Python","license":"NOASSERTION","archived":0.0,"subcategory":"aerial-robot-reinforcement-learning","last_pushed_at":"2022-10-25T07:58:42+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":5.0,"maturity_score":16.0,"community_score":0.0,"quality_score":21.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-14T22:01:51.162569+00:00"}}