Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator
Jiantao Qiu, Chao Yu, Weiling Liu, Tianxiang Yang et al. • IEEE Access
(2021)
In recent years, reinforcement learning (RL) has been widely used to solve multi-agent navigation tasks, and a high-fidelity level for the simulator is critical to narrow the gap between simulation and real-world tasks. However, high-fideli...
DOAJ
Open Access (DOAJ)
DOI:
10.1109/ACCESS.2021.3085328