Safe Multiagent Motion Planning Under Uncertainty for Drones Using Filtered Reinforcement Learning.
Sleiman SafaouiAbraham P. VinodAnkush ChakrabartyRien QuirynenNobuyuki YoshikawaStefano Di CairanoPublished in: IEEE Trans. Robotics (2024)
Keyphrases
- planning under uncertainty
- markov decision processes
- robotic tasks
- reinforcement learning
- multi agent
- partially observable markov decision processes
- decision theoretic
- ai planning
- belief space
- state space
- optimal policy
- image sequences
- dynamical systems
- dynamic programming
- learning algorithm
- integer programming
- partially observable markov decision process
- human motion
- optimal control
- general purpose
- partially observable
- single agent
- learning agents
- moving objects
- cooperative
- infinite horizon
- np hard
- dec pomdps