Reinforcement learning as a rehearsal for swarm foraging.
Trung NguyenBikramjit BanerjeePublished in: Swarm Intell. (2022)
Keyphrases
- reinforcement learning
- swarm intelligence
- real robot
- collective behavior
- honey bee
- swarm robotics
- function approximation
- particle swarm optimization
- machine learning
- temporal difference
- ant colony optimization
- learning algorithm
- swarm robots
- decentralized control
- cooperative
- markov decision processes
- foraging behavior
- model free
- multi agent reinforcement learning
- ant colonies
- state space
- foraging theory
- dynamic programming
- autonomous learning
- social behavior
- particle swarm optimization pso
- optimization algorithm
- reinforcement learning algorithms
- computational intelligence
- transition model
- multi agent
- robotic control
- social insects
- collective intelligence
- learning process
- particle swarm
- partially observable
- virtual humans
- reinforcement learning methods
- evolutionary computation
- markov decision process
- supervised learning