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 ...

MULTIAGENT systems *NASH equilibrium; Keywords: hidden Markov random field multi-agent reinforcement learning optimal decision top-coal caving. Abstract: In a ...

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

This paper aims to get the optimal decision of the window's action of hydraulic support in top-coal caving by control theory. A DQN method based on the Markov ...

Hidden Markov Random Field for Multi-Agent Optimal Decision in Top-Coal Caving. IEEE Access 8: 76596-76609 (2020). [j5]. view. electronic edition via DOI (open ...