Reinforcement learning in policy-driven autonomic management.
Raphael M. BahatiMichael A. BauerPublished in: NOMS (2008)
Keyphrases
- reinforcement learning
- optimal policy
- autonomic systems
- policy search
- action selection
- markov decision process
- management policies
- management system
- markov decision processes
- knowledge management
- policy making
- autonomic computing
- function approximation
- data management
- partially observable environments
- policy evaluation
- control policies
- partially observable
- approximate dynamic programming
- policy gradient
- control policy
- machine learning
- information systems
- reinforcement learning algorithms
- actor critic
- reinforcement learning problems
- state space
- public policy
- state and action spaces
- policy iteration
- markov decision problems
- average reward
- action space
- partially observable markov decision processes
- project management
- decision support
- dynamic programming
- decision making
- continuous state
- state action
- network management
- information management
- decision problems
- multi agent
- partially observable domains
- autonomic computing systems