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Data · dataset · 2026

Code for Hydraulic Support Straightening Strategy Based on Multi-Agent Cooperative Game

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This dataset contains the complete source code of the paper "Study on Hydraulic Support Alignment Strategy Based on Multi-Agent Cooperative Game", developed in Python 3.8.

Description

The key dependency libraries include PyTorch, NumPy, OpenAI Gym, etc. The specific dependencies are listed in the requirements. txt file.

The main content includes: 1. Core Algorithm Implementation: The core code of the proposed CG-LSTM-MATD3 algorithm is located in CooperativeGame.exe, which integrates cooperative game mechanism and LSTM module to solve the problem of multi-agent hydraulic support straightening. 2. Comparison of baseline algorithms: including the implementation of SHAQ, SQDDPG, DIPO and other comparison algorithms (SHAQ. py, SQDDPG. py, DIPO. py) for performance comparison experiments. 3.

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Simulation environment: The hydraulic support straightening environment is defined in env.py, which simulates the interaction and control process of multiple hydraulic supports. 4. Training framework: main.by provides the process of model training and result recording, and users can adjust training settings by modifying configuration parameters. 

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Catalogue records · 1

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Simulation 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3723812 d agoJSON v1
FieldAssertionExtractorEvidence
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