Lecture slides online: Reinforcement Learning for Autonomous Driving at ELLIS summer school
abursuc · x · 2026-09-15
Maximilian Igl posted the slides of his two-part lecture on RL for autonomous driving at the ELLIS Summer School on Autonomous Driving in Barcelona, as interactive Reveal.js decks.
- Part 1: RL background — why RL is needed (covariate shift and experimental evidence), from first principles to PPO and GRPO (with value functions and GAE), plus the broader RL landscape including exploration.
- Part 2: the research frontier of RL for Autonomous Driving.
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