Federated Reinforcement Learning for Collective Navigation of Robotic Swarms.
Seongin NaTomás RoucekJirí UlrichJan PikmanTomás KrajníkBarry LennoxFarshad ArvinPublished in: IEEE Trans. Cogn. Dev. Syst. (2023)
Keyphrases
- reinforcement learning
- collective behavior
- mobile robot
- real robot
- robotic systems
- state space
- function approximation
- perception action
- robot control
- model free
- swarm intelligence
- machine learning
- object manipulation
- indoor environments
- real time
- obstacle avoidance
- service robots
- autonomous navigation
- cooperative
- dynamic environments
- particle swarm optimization
- collective intelligence
- learning problems
- optimal policy
- markov decision processes
- reinforcement learning algorithms
- bio inspired
- digital libraries
- robot navigation
- information space
- learning process
- supervised learning
- federated databases
- unknown environments
- dynamic programming
- data sources
- robotic control
- robot behavior
- learning algorithm
- robotic arm
- reinforcement learning methods
- federated search
- outdoor environments
- search engine
- optimal control
- action space
- multi agent
- social behavior
- autonomous robots
- temporal difference