An Adaptive Reinforcement Learning Approach to Policy-Driven Autonomic Management.
Raphael M. BahatiMichael A. BauerPublished in: ICAS (2009)
Keyphrases
- reinforcement learning
- optimal policy
- autonomic systems
- action selection
- policy search
- policy making
- autonomic computing
- management system
- markov decision process
- management policies
- control policies
- decision making
- function approximators
- approximate dynamic programming
- policy gradient
- markov decision processes
- function approximation
- model free
- partially observable
- action space
- data driven
- decision support
- policy evaluation
- control policy
- autonomic computing systems
- markov decision problems
- state space
- machine learning
- reward function
- temporal difference
- partially observable domains
- state and action spaces
- partially observable environments
- dynamic programming
- reinforcement learning problems
- learning algorithm
- policy iteration
- network management
- data processing
- knowledge management
- information systems
- continuous state
- state action
- average reward
- actor critic
- continuous state spaces
- infinite horizon
- transition model
- computing systems
- multi agent systems
- multi agent
- agent receives