Swarm reinforcement learning algorithms based on particle swarm optimization.
Hitoshi IimaYasuaki KuroePublished in: SMC (2008)
Keyphrases
- particle swarm optimization
- reinforcement learning algorithms
- reinforcement learning
- markov decision processes
- state space
- pso algorithm
- swarm intelligence
- model free
- global optimization
- particle swarm
- differential evolution
- multi objective
- reinforcement learning problems
- reinforcement learning methods
- particle swarm optimization pso
- particle swarm optimization algorithm
- eligibility traces
- temporal difference
- inertia weight
- function approximation
- ant colony optimization
- learning algorithm
- convergence speed
- partially observable environments
- reward function
- genetic algorithm
- policy search
- reward shaping
- dynamic environments
- least squares
- markov chain
- search algorithm
- multi agent
- multiagent reinforcement learning