An adaptation of particle swarm optimization for Markov decision processes.
Hyeong Soo ChangPublished in: SMC (2) (2004)
Keyphrases
- markov decision processes
- particle swarm optimization
- pso algorithm
- finite state
- optimal policy
- reinforcement learning
- transition matrices
- state space
- policy iteration
- dynamic programming
- differential evolution
- multi objective
- reachability analysis
- decision theoretic planning
- risk sensitive
- particle swarm optimization pso
- finite horizon
- average reward
- swarm intelligence
- reinforcement learning algorithms
- planning under uncertainty
- partially observable
- machine learning
- model based reinforcement learning
- state and action spaces
- infinite horizon
- decision processes
- genetic algorithm
- action space
- markov decision process
- reward function
- fixed point
- linear programming