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Found 3 papers, 2 papers with code
Docking Multirotors in Close Proximity using Learnt Downwash Models
However, certain missions \textit{require} two multirotors to approach each other within 1-2 body-lengths of each other and hold formation -- we consider one such practical instance: vertically docking two multirotors in the air.
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
When a system of learning agents is not constrained to homogeneous policies, individual agents may develop diverse behaviors, resulting in emergent complementarity that benefits the system.
Heterogeneous Multi-Robot Reinforcement Learning
Through simulations and real-world experiments, we show that: (i) when homogeneous methods fail due to strong heterogeneous requirements, HetGPPO succeeds, and, (ii) when homogeneous methods are able to learn apparently heterogeneous behaviors, HetGPPO achieves higher resilience to both training and deployment noise.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
