On a new Waymo-based causal benchmark, an imitation-plus-reinforcement planner (MTR-SAC) reaches goals more often than imitation alone but crashes and goes offroad more, contradicting the claimed safety improvement.
Parting with misconceptions about learning-based vehicle motion planning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Exposing the Copycat Problem of Imitation-based Planner: A Novel Closed-Loop Simulator, Causal Benchmark and Joint IL-RL Baseline
On a new Waymo-based causal benchmark, an imitation-plus-reinforcement planner (MTR-SAC) reaches goals more often than imitation alone but crashes and goes offroad more, contradicting the claimed safety improvement.