Bridging RL and MPC for mixed-integer optimal control with application to Formula 1 race strategies

arXiv:2604.00826 · eess.SY, cs.SY · Submitted 2026-04-01 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-04-01

Updated: 2026-09-17

Terminology

Actor — 37× in this paper · explained in 3 episodes
Action Space — 20× in this paper · explained in 1 episode
Reinforcement Learning — 12× in this paper · explained in 4 episodes
Ablation — 8× in this paper · explained in 1 episode
Benchmark — 7× in this paper · explained in 2 episodes
Ablation study — 5× in this paper · explained in 1 episode
Adaptability — 3× in this paper · explained in 1 episode
Adaptation — 3× in this paper · explained in 1 episode
Model Predictive Control (MPC) — 3× in this paper · explained in 5 episodes
Reinforcement Learning (RL) — 3× in this paper · explained in 25 episodes
Trace — 3× in this paper · explained in 2 episodes
Core — 2× in this paper · explained in 2 episodes
Activation Function — 1× in this paper · explained in 1 episode
Consistency — 1× in this paper · explained in 3 episodes
Curse of Dimensionality — 1× in this paper · explained in 6 episodes
Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
Physical Constraints — 1× in this paper · explained in 7 episodes
Pruning — 1× in this paper · explained in 4 episodes
Unified Framework — 1× in this paper · explained in 5 episodes

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