Existing reinforcement-learning methods for robot crowd navigation are limited because they output a single reactive action at each timestep, which constrains their ability to represent diverse short-term avoidance strategies

Existing reinforcement-learning methods typically output a single reactive action at each timestep, which limits their ability to represent diverse short-term avoidance strategies.

http://arxiv.org/abs/2608.27158v1