Particle Swarm Optimization for Generating Fuzzy Reinforcement Learning Policies.
Daniel HeinAlexander HentschelThomas A. RunklerSteffen UdluftPublished in: CoRR (2016)
Keyphrases
- particle swarm optimization
- reinforcement learning
- optimal policy
- policy search
- fuzzy sets
- pso algorithm
- state space
- control policies
- multi objective
- markov decision process
- markov decision processes
- reward function
- membership functions
- fuzzy rules
- particle swarm optimization algorithm
- reinforcement learning algorithms
- function approximation
- fuzzy set theory
- particle swarm optimization pso
- global optimization
- differential evolution
- reinforcement learning agents
- control policy
- dynamic programming
- fuzzy logic
- fitted q iteration
- hierarchical reinforcement learning
- multi agent
- evolutionary algorithm
- inertia weight
- fuzzy neural network
- fuzzy numbers
- fuzzy controller
- convergence speed
- learning algorithm
- ant colony optimization
- model free
- decision problems
- fuzzy systems
- markov decision problems
- multiagent reinforcement learning
- fuzzy clustering