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Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
The recent progress in multi-agent deep reinforcement learning(MADRL) makes it more practical in real-world tasks, but its relatively poor scalability and the partially observable constraints raise challenges to its performance and deployment.
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning
We demonstrate our approach by combining it with MADDPG and verifing the performance in two homogeneous and one heterogeneous environments.
Multi-agent Reinforcement Learning
reinforcement-learning
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