Optimal Dynamic Remapping of Data Parallel Computations
IEEE Transactions on Computers
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Adaptive protocols for parallel discrete event simulation
WSC '96 Proceedings of the 28th conference on Winter simulation
Computing global virtual time in shared-memory multiprocessors
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Dynamic load balancing strategies for conservative parallel simulations
Proceedings of the eleventh workshop on Parallel and distributed simulation
The Grid File: An Adaptable, Symmetric Multikey File Structure
ACM Transactions on Database Systems (TODS)
Artificial Intelligence - special issue on computational tradeoffs under bounded resources
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Finite-time Analysis of the Multiarmed Bandit Problem
Machine Learning
Adaptive Resolution Model-Free Reinforcement Learning: Decision Boundary Partitioning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Computer
Decision-Theoretic Throttling for Optimistic Simulations of Multi-Agent Systems
DS-RT '05 Proceedings of the 9th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Dynamic Algorithm Selection Using Reinforcement Learning
AIDM '06 Proceedings of the International Workshop on on Integrating AI and Data Mining
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
The event queue problem and PDevs
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Large-Scale Design Space Exploration of SSA
CMSB '08 Proceedings of the 6th International Conference on Computational Methods in Systems Biology
The feature selection problem: traditional methods and a new algorithm
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Autonomic Log/Restore for Advanced Optimistic Simulation Systems
MASCOTS '10 Proceedings of the 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Continuous System Simulation
A Multi-State Q-Learning Approach for the Dynamic Load Balancing of Time Warp
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
Multi-armed bandit algorithms and empirical evaluation
ECML'05 Proceedings of the 16th European conference on Machine Learning
Toward a language for the flexible observation of simulations
Proceedings of the Winter Simulation Conference
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The state of a model may strongly vary during simulation, and with it also the simulation's computational demands. Adapting the simulation algorithm to these demands at runtime can therefore improve the overall performance. Although this is a general and cross-cutting concern, only few simulation systems offer re-usable support for this kind of runtime adaptation. We present a flexible and generic mechanism for the runtime adaptation of component-based simulation algorithms. It encapsulates simulation algorithms applicable to a given problem and employs reinforcement learning to explore the algorithms' suitability during a simulation run. We evaluate the approach by executing models from two modeling formalisms used in computational biology.