Hybrid-Pursuit Strategies in Multiple Pursuer-Evader Games Using Reinforcement Learning
This paper presents a comprehensive learning strategy for the collaborative pursuit of evaders by multiple pursuers in environments with dynamic obstacles. Utilizing a variational autoencoder framework for effective obstacle detection, we integrate the multiagent twin delayed deep deterministic poli...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10788710/ |
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