Temporal difference learning and TD-Gammon
Communications of the ACM
Internet traffic: periodicity, tail behavior, and performance implications
System performance evaluation
The Vision of Autonomic Computing
Computer
Feedback Control of Computing Systems
Feedback Control of Computing Systems
Performance by Design: Computer Capacity Planning By Example
Performance by Design: Computer Capacity Planning By Example
A Reinforcement Learning Framework for Dynamic Resource Allocation: First Results.
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Online resource allocation using decompositional reinforcement learning
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Adaptive job routing and scheduling
Engineering Applications of Artificial Intelligence
Reinforcement Learning: An Introduction
IEEE Transactions on Neural Networks
Learning to trade via direct reinforcement
IEEE Transactions on Neural Networks
Scheduling for Reliable Execution in Autonomic Systems
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
An adaptive middleware for supporting time-critical event response
Cluster Computing
Self-adaptive software: Landscape and research challenges
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
CASEMANS 2009: the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
Proceedings of the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Elicitation and utilization of application-level utility functions
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Multi-policy optimization in decentralized autonomic systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Scheduling policy design for autonomic systems
International Journal of Autonomous and Adaptive Communications Systems
Resource provisioning for cloud computing
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
Towards energy-aware scheduling in data centers using machine learning
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Towards dynamic and adaptive resource management for emerging networks
AIMS'10 Proceedings of the Mechanisms for autonomous management of networks and services, and 4th international conference on Autonomous infrastructure, management and security
Multi-policy optimization in self-organizing systems
SOAR'09 Proceedings of the First international conference on Self-organizing architectures
The world of independent learners is not markovian
International Journal of Knowledge-based and Intelligent Engineering Systems
Stability and performance analysis of randomly deployed wireless networks
Journal of Computer and System Sciences
Decision making in autonomic computing systems: comparison of approaches and techniques
Proceedings of the 8th ACM international conference on Autonomic computing
Using reinforcement learning for controlling an elastic web application hosting platform
Proceedings of the 8th ACM international conference on Autonomic computing
Towards autonomic software product lines
Proceedings of the 15th International Software Product Line Conference, Volume 2
Towards Non-Stationary Grid Models
Journal of Grid Computing
Network protection codes: Providing self-healing in autonomic networks using network coding
Computer Networks: The International Journal of Computer and Telecommunications Networking
Autonomic multi-policy optimization in pervasive systems: Overview and evaluation
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
Unstable path routing in urban-scale WSN
ACM SIGBED Review - Special Issue on the 3rd International Workshop on Networks of Cooperating Objects (CONET 2012)
Proceedings of the 9th international conference on Autonomic computing
Comparison of Decision-Making Strategies for Self-Optimization in Autonomic Computing Systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special Section: Extended Version of SASO 2011 Best Paper
Exploiting user feedback for adapting mobile interaction obtrusiveness
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
Expert Systems with Applications: An International Journal
Self-organizing agent communities for autonomic resource management
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Reinforcement learning (RL) is a promising new approach for automatically developing effective policies for real-time self-* management. RL has the potential to achieve superior performance to traditional methods while requiring less built-in domain knowledge. Several case studies from real and simulated systems-management applications demonstrate RL's promises and challenges. These studies show that standard online RL can learn effective policies in feasible training times. Moreover, a Hybrid RL approach can profit from any knowledge contained in an existing policy by training on the policy's observable behavior without needing to interface directly to such knowledge.