On the Limits of Digital Twins for Safe Deep Reinforcement Learning in Robotic Networks.
Mohamed Iheb BalghouthiFederico ChiariottiLuca BedogniPublished in: INFOCOM (Workshops) (2024)
Keyphrases
- reinforcement learning
- mobile robot
- function approximation
- machine learning
- social networks
- markov decision processes
- state space
- manipulation tasks
- real robot
- reinforcement learning algorithms
- real time
- network analysis
- network size
- deep learning
- computer networks
- network design
- network model
- perception action
- optimal control
- robotic systems
- community structure
- network structure
- peer to peer
- dynamic programming
- learning process
- multi agent
- learning algorithm
- neural network