Mar 28, 2024 · We propose inferring a Latent Temporal Sparse Coordination Graph (LTS-CG) for MARL. The LTS-CG leverages agents' historical observations to calculate an agent- ...

Mar 28, 2024 · These features allow LTS-CG to construct temporal graphs from historical and real-time information, promoting knowledge exchange during policy ...

Offical code for Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning - Wei9711/LTSCG.

The paper proposes a novel approach called Latent Temporal Sparse Coordination Graph (LTS-CG) for multi-agent reinforcement learning (MARL).

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

The LTS-CG leverages agents' historical observations to calculate an agent-pair probability matrix, where a sparse graph is sampled from and used for knowledge ...

Co-authors ; Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning. W Duan, J Lu, J Xuan. arXiv preprint arXiv:2403.19253, ...

Inferring latent temporal sparse coordination graph for multi-agent reinforcement learning. CoRR, abs/2403.19253, 2024. [Iqbal et al.,2021] Shariq Iqbal ...

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning ... Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement ...

6 Excerpts. Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning · Wei DuanJie LuJunyu Xuan. Computer Science. ArXiv. 2024.