Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
–Neural Information Processing Systems
We present a novel multi-agent RL approach, Selective Multi-Agent Prioritized Experience Relay, in which agents share with other agents a limited number of transitions they observe during training.
Neural Information Processing Systems
Feb-16-2026, 19:27:29 GMT
- Country:
- Asia > Middle East
- North America
- Puerto Rico > San Juan
- San Juan (0.04)
- United States > Montana (0.04)
- Puerto Rico > San Juan
- Genre:
- Research Report > New Finding (0.67)
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