To collect or not to collect? machine learning for memory management

Proceedings of the 2nd Java Virtual Machine Research and Technology Symposium, JAVA VM 2002

Volumn , Issue , 2002, Pages

  Andreasson, Eva ^a   Hoffmann, Frank ^b   Lindholm, Olof ^a  

^a Appeal Virtual Machines   (Sweden)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DIAGNOSIS; ENGINEERING RESEARCH; JAVA PROGRAMMING LANGUAGE; MEDICAL COMPUTING; MEDICAL PROBLEMS; NETWORK SECURITY; REINFORCEMENT LEARNING; SPEECH RECOGNITION; VIRTUAL MACHINE;

GARBAGE COLLECTION; GARBAGE COLLECTORS; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; REAL-WORLD PROBLEM; REWARDS AND PENALTIES; RUNNING APPLICATIONS; UNKNOWN ENVIRONMENTS;

LEARNING SYSTEMS;

EID: 85093119498     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Bertsekas, D. P. and Tsitsiklis, J. N. (1996). Neurodynamic programming. Athena Scientific, Belmont, Massachusetts, USA.
2. Jones, R. and Lins, R. (1996). Garbage collection - algorithms for automatic dynamic memory management. John Wiley & Sons Ltd., Chichester, England, UK.
3. Mitchell, T. M. (1997). Machine learning. McGraw Hill, USA.
4. Russell, S. J. and Norvig, P. (1995). Artificial intelligence - a modern approach. Prentice-Hall, Inc., Englewood Cliffs, New Jersey, USA.
5. Sutton, R. S. and Barto, A. G. (1998). Reinforcement learning - an introduction. MIT Press, Cambridge, Massachusetts, USA.
6. Andreasson, E. (2002). Reinforcement Learning for a dynamic JVM. KTH/Appeal Virtual Machines, Stockholm, Sweden.
7. Brecht, T., Arjomandi, E., Li, C. and Pham, H. (2001). Controlling garbage collection and heap growth to reduce the execution time of java applications. ACM Conference, OOPSLA, Tampa, Florida, USA.
8. Flood, C. H. and Detlefs, D.; Shavit, N.; Zhang, X. (2001). Parallel garbage collection for shared memory multiprocessors. Sun Microsystems Laboratories, USA; Tel-Aviv University, Israel; Harvard University, USA.
9. Lindholm, D. and Joelson, M. (2001). Garbage collectors in JRockit 2.2. Appeal Virtual Machines, Stockholm, Sweden. Confidential.
10. Pack Kaelbling, L.; Littman, M. L. and Moore, A. W. (1996). Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research, Volume 4.
11. Pérez-Uribe, A. and Sanchez, E. (1999). A comparison of reinforcement learning with eligibility traces and integrated learning, planning and reacting. Concurrent Systems Engineering Series, Vol. 54, IOS Press, Amsterdam.
12. Precup, D., Sutton, R. S. and Dasgupta, S. (2001). Off-policy temporal-difference learning with function approximation. School of computer science, McGill University, Montreal, Quebec, Canada and AT & T Shannon laboratory, New Jersey, USA.
13. Printezis, T. (2001). Hot-swapping between a mark&sweep and a mark&compact garbage collector in a generational environment. Department of Computing Science, University of Glasgow, Glasgow, Scotland, UK.
14. Printezis, T.; Detlefs, D. (1998). A generational mostly-concurrent garbage collector. Department of Computing Science, University of Glasgow, Glasgow, Scotland, UK; Sun Microsystems Laboratories East, Massachusetts, USA.
15. Tsitsiklis, J. N. and Van Roy, B. (1997). An analysis of temporal-difference learning with function approximation. Laboratory for information and decision systems, MIT, Cambridge, Massachusetts, USA.