{"data":{"full_name":"Aaronaferns/MBRL-DeepMPC","name":"MBRL-DeepMPC","description":"Efficient Model-Based Deep Reinforcement Learning with Predictive Control: Developed a Model-Based RL algorithm using MPC, achieving convergence in 200 episodes (best case) and 1000 episodes on average, outperforming SAC/DQN (10,000+ episodes). Enhanced sample efficiency by 80-90% using learned dynamics and CEM for trajectory optimization.","stars":10.0,"forks":1.0,"language":"Python","license":null,"archived":0.0,"subcategory":"aerial-robot-reinforcement-learning","last_pushed_at":"2024-12-31T05:28:26+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":8.0,"community_score":7.0,"quality_score":20.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-10T06:44:59.801129+00:00"}}