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 ...

In the experiment, the top-coal caving demonstrates the effectiveness of the proposed method that the recall of top-coal is improved prominently with a very ...

In a multi-agent system, the complex interaction among agents is one of the difficulties in making the optimal decision. This paper proposes a new action value ...

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 ...

hidden Markov random field multi-agent reinforcement learning optimal decision top-coal caving. Abstract: In a multi-agent system, the complex interaction ...

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.