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  1. Cognitive prediction of obstacle's movement for reinforcement learning pedestrian interacting model.Masaomi Kimura & Thanh-Trung Trinh - 2022 - Journal of Intelligent Systems 31 (1):127-147.
    Recent studies in pedestrian simulation have been able to construct a highly realistic navigation behaviour in many circumstances. However, when replicating the close interactions between pedestrians, the replicated behaviour is often unnatural and lacks human likeness. One of the possible reasons is that the current models often ignore the cognitive factors in the human thinking process. Another reason is that many models try to approach the problem by optimising certain objectives. On the other hand, in real life, humans do not (...)
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