RL agents in dynamic flows learn an adaptive flow-assisted casting strategy for odor search, showing non-monotonic performance with memory length explained by a sector-search model.
Proceedings of the 2016 international conference on autonomous agents & multiagent systems , pages=
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Emergence of a Flow-Assisted Casting Strategy for Olfactory Navigation via Memory-Augmented Reinforcement Learning
RL agents in dynamic flows learn an adaptive flow-assisted casting strategy for odor search, showing non-monotonic performance with memory length explained by a sector-search model.