Federated Reinforcement Learning for Collective Navigation of Robotic Swarms.
Seongin NaTomás KrajníkBarry LennoxFarshad ArvinPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- collective behavior
- robotic systems
- mobile robot
- function approximation
- perception action
- indoor environments
- real robot
- cooperative
- digital libraries
- service robots
- robot control
- model free
- state space
- reinforcement learning algorithms
- bio inspired
- swarm intelligence
- machine learning
- real time
- object manipulation
- obstacle avoidance
- dynamic environments
- markov decision processes
- robot navigation
- temporal difference
- metadata
- robot behavior
- dynamic programming
- robotic arm
- information space
- particle swarm optimization
- autonomous navigation
- learning process
- multi agent
- neural network
- supervised learning
- distributed systems
- collective intelligence
- learning problems
- autonomous robots
- degrees of freedom
- optimal control