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Jan 20, 2023 · The feature aggregation method based on attentive relational state representation establishes an insensitive state representation to permutation and problem ...
In our experiments on Intelligent Joint Operation Simulation, experimental results show that attentive relational state representation improves the baseline ...
In our experiments on Intelligent Joint Operation Simulation, experimental results show that attentive relational state representation improves the baseline ...
Feb 23, 2024 · In multiagent reinforcement learning (MARL), it is crucial for each agent to model the relation with its neighbors.
The ARE actively selects the relevant information from the neighboring agents and is permutation invariant, computationally efficient, and flexible to ...
Missing: Joint Operation Simulation.
Jan 19, 2023 · Attentive Relational State Representation for Intelligent Joint Operation Simulation. Renlong Chen, Ling Ye, Shaoqiu Zheng, Yabin Wang, Peng ...
... Attentive Relational State Representation for Intelligent Joint Operation Simulation -- Graph Neural Networks -- Flow Prediction via Multi-view Spatial ...
- SMPG: Adaptive Soft Update for Masked MADDPG -- Attentive Relational State Representation for Intelligent Joint Operation Simulation -- Graph Neural ...
8570, Attentive Relational State Representation for Intelligent Joint Operation Simulation, Renlong Chen, Ling Ye, Shaoqiu Zheng, Yabin Wang, Peng Cui and Ying ...
May 12, 2023 · called UNit-wise attentive State Representation (UNSR) that leverages attentive state representation for each agent to im- prove learning ...
Missing: Relational Simulation.