Apr 1, 2020 · This paper extends the hidden variable of ground truth to the multi-agent system and proposes the hidden Markov random field (HMRF) model with ...

This paper extends the hidden variable of ground truth to the multi-agent system and proposes the hidden Markov random field (HMRF) model with reinforcement ...

Mar 25, 2022 · Keywords: multi-agent reinforcement learning; optimal decision; hidden Markov random field; top-coal caving. 1. Introduction. Optimal decision ...

To obtain the OEAN, the hidden Markov random field (HMRF) is employed to establish the probability graphical model (PGM) [22] for the multi-agent system ...

Hence, we employ the hidden Markov random field (HMRF) [47] to estimate the optimal action of agent in the neighbourhood. ... ... In this process, the tail boom ...

The effectiveness of the method is verified by the case study of the top-coal caving. The experiment results show that the OEAN can reduce the complexity of the ...

Feb 29, 2024 · Article on Hidden Markov Random Field Model Based VGG-16 for Segmentation and Classification of Head and Neck Cancer, published in ...

Apr 2, 2020 · Abstract: In top-coal caving, the window control of hydraulic support is a key issue to the perfect economic benefit.

Jun 16, 2019 · A Hidden Markov Model–Bayesian Networks (HMM–BN) hybrid ... Hidden Markov Random Field for Multi-Agent Optimal Decision in Top-Coal Caving.

Mar 1, 2013 · This paper proposes behavior learning and generation models for simple and complex behaviors of robots using unsupervised learning methods.