Transfer learning in multi-agent reinforcement learning domains

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7188 LNAI, Issue , 2012, Pages 249-260

  Boutsioukis, Georgios ^a   Partalas, Ioannis ^a   Vlahavas, Ioannis ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC PERFORMANCE; LEARNING PROCEDURES; LEARNING TIME; MULTI-AGENT ENVIRONMENT; MULTI-AGENT REINFORCEMENT LEARNING; SINGLE-AGENT; TRANSFER LEARNING;

LEARNING ALGORITHMS;

REINFORCEMENT LEARNING;

EID: 84861715464     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29946-9_25     Document Type: Conference Paper

References (14)

1. Claus, C., Boutilier, C.: The dynamics of reinforcement learning in cooperative multiagent systems. In: 15th National Conference on Artificial Intelligence, pp. 746-752 (1998)
2. Fernández, F., Veloso, M.: Probabilistic policy reuse in a reinforcement learning agent. In: 5th International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 720-727 (2006)
3. Hailu, G., Sommer, G.: On amount and quality of bias in reinforcement learning, vol. 2, pp. 728-733 (1999)
4. Kok, J.R., Vlassis, N.: The pursuit domain package. Technical report ias-uva-03-03, University of Amsterdam, The Netherlands (2003)
5. Konidaris, G., Barto, A.: Autonomous shaping: knowledge transfer in reinforcement learning. In: 23rd International Conference on Machine Learning, pp. 489-496 (2007)
6. Lazaric, A.: Knowledge Transfer in Reinforcement Learning. Ph.D. thesis, Politecnico di Milano (2008)
7. Madden, M.G., Howley, T.: Transfer of experience between reinforcement learning environments with progressive difficulty. Artificial Intelligence Review 21(3-4), 375-398 (2004)
8. Soni, V., Singh, S.: Using homomorphisms to transfer options across continuous reinforcement learning domains. In: AAAI Conference on Artificial Intelligence, pp. 494-499 (2006)
9. Taylor, M., Stone, P.: Transfer learning for reinforcement learning domains: A survey. Journal of Machine Learning Research 10, 1633-1685 (2009)
10. Taylor, M.E., Jong, N.K., Stone, P.: Transferring Instances for Model-Based Reinforcement Learning. In: Daelemans, W., Goethals, B., Morik, K. (eds.) ECML PKDD 2008, Part II. LNCS (LNAI), vol. 5212, pp. 488-505. Springer, Heidelberg (2008)
11. Taylor, M.E., Kuhlmann, G., Stone, P.: Autonomous transfer for reinforcement learning. In: 7th International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 283-290 (2008)
12. Taylor, M.E., Stone, P., Liu, Y.: Transfer learning via inter-task mappings for temporal difference learning. Journal of Machine Learning Research 8, 2125-2167 (2007)
13. Torrey, L., Shavlik, J., Walker, T., Maclin, R.: Skill Acquisition Via Transfer Learning and Advice Taking. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) ECML 2006. LNCS (LNAI), vol. 4212, pp. 425-436. Springer, Heidelberg (2006)
14. Weiss, G.: A Modern Approach to Distributed Artificial Intelligence. MIT Press (1999)