Safe trajectory design for indoor drones using reinforcement-learning-based methods
Author:
Affiliation:
1. Institute for Computer Science and Control (SZTAKI),Eötvös Loránd Research Network (ELKH) Kende utca 13-17.,Budapest,Hungary,1111
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10158523/10158534/10158591.pdf?arnumber=10158591
Reference12 articles.
1. Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks
2. A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing
3. Deep Deterministic Policy Gradient With Compatible Critic Network
4. Collision-free trajectory design for dance choreography of virtual drones in hierarchical structure
5. Opportunities and challenges for exploiting drones in agile manufacturing systems
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