2026-10-15T11:51:34Z https://data.mendeley.com/oai

oai:data.mendeley.com/8yxr7rd6jz.1 2026-09-17T12:48:26Z

Liao, Yuan Interpreting Residual Control Gains in Quadrotor Simulation - simulation records and code Mendeley Data Compact numerical records, fixed configurations and source code for the simulation study "Interpreting Residual Control Gains in Quadrotor Simulation". The study distinguishes available residual corrections, fixed-budget SAC learning, classical-controller comparisons, force-application checks and failure-cost accounting. All adverse outcomes are retained. S1 contains the historical two-implementation comparison and verification code. S2 and S3 provide descriptive displays of those records. S4 contains the distinct 1,920-episode fixed-policy parameter holdout. S5 contains holdout trace accounting and a 480-episode targeted force-path intervention. S6 contains the complete corrected-platform comparison: six classical families, five SAC training seeds, 400 checkpoint-development evaluations and 17,280 confirmation evaluations, including all 5,038 failures and independent reaggregation code. The archives preserve their original bytes and identifiers. Historical PyBullet results use the legacy force path; S6 uses the corrected path. The independent rigid-body implementation uses RK4 integration. These are simulation results for one nominal vehicle and finite development budgets, not real-flight validation. Full high-frequency trajectories, learning checkpoints and replay buffers are not included in this compact deposit; they remain in the authors archive. The deposited compact records support the reported aggregate comparisons. See README and the SHA-256 manifest for file scope and verification instructions. Automatic Control Ye, Jing Zhou, Hongyu Liao, Zexian Dataset doi:10.17632/8yxr7rd6jz.1 oai:data.mendeley.com/8yxr7rd6jz.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/8yxr7rd6jz 2026-09-17T12:48:26Z