Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning
Cooperative Multi-Agent Reinforcement Learning (MARL) focuses on developing strategies to effectively train multiple agents to learn and adapt policies collaboratively. Despite being a relatively new area of research, most MARL methods are based on well-established approaches used in single-agent de...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10844859/ |
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