# Dynamic eco-driving on Eco-Driving Penetration Rate variation Source: [Dynamic eco-driving on Eco-Driving Penetration Rate variation]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:53:48.469Z Evaluation of dynamic eco-driving performance using the Eco-Driving Penetration Rate variation dataset, focusing on the Normalized Reward metric. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Dynamic eco-driving | | Dataset (including any stated split) | Eco-Driving Penetration Rate variation | | Metric | Normalized Reward | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 6 of 6 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Normalized Reward](): Higher is better; unit: SCALAR. ## Recorded results | Method | Normalized Reward | Result date | Report paper | | --- | --- | --- | --- | | Sequential Oracle | 0.6668 | Not recorded | 68fa76b71e209131cea6ea9f | | MBTL | 0.6519 | Not recorded | 68fa76b71e209131cea6ea9f | | Random Selection | 0.6212 | Not recorded | 68fa76b71e209131cea6ea9f | | Greedy Selection | 0.5992 | Not recorded | 68fa76b71e209131cea6ea9f | | Independent Training | 0.526 | Not recorded | 68fa76b71e209131cea6ea9f | | Multi-task Training | 0.1945 | Not recorded | 68fa76b71e209131cea6ea9f | ### Sequential Oracle Normalized Reward: 0.6668. Result ID: 69944b163a6c3148491c5156. [Reporting paper]() Recorded evaluation configuration: {"Number of Trained Models":"N"}. This record does not assert independent reproduction. ### MBTL Normalized Reward: 0.6519. Result ID: 69944b163a6c3148491c5155. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of Trained Models":"K"}. This record does not assert independent reproduction. ### Random Selection Normalized Reward: 0.6212. Result ID: 69944b163a6c3148491c5153. [Reporting paper]() Recorded evaluation configuration: {"Number of Trained Models":"K"}. This record does not assert independent reproduction. ### Greedy Selection Normalized Reward: 0.5992. Result ID: 69944b163a6c3148491c5154. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of Trained Models":"K"}. This record does not assert independent reproduction. ### Independent Training Normalized Reward: 0.526. Result ID: 69944b163a6c3148491c5151. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of Trained Models":"N"}. This record does not assert independent reproduction. ### Multi-task Training Normalized Reward: 0.1945. Result ID: 69944b163a6c3148491c5152. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of Trained Models":"1"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.