Arthur W. B. 1994. Inductive reasoning and bounded rationality. The American Economic Review 84, 406–411.

Binmore K. 2012. Playing for Real: A Text on Game Theory. Oxford University Press.

Buşoniu L., Babuška R. & Schutter B. 2010. Multi-agent reinforcement learning: An overview. In Innovations in Multi-Agent Systems and Applications – 1, Volume 310 of Studies in Computational Intelligence, Srinivasan, D. & Jain, L. (eds). Springer Berlin Heidelberg, 183–221.

Colby M., Duchow-Pressley T., Chung J. J. & Tumer K. 2016. Local approximation of difference evaluation functions. In Proceedings of the 15th International Conference on Autonomous Agents & Multiagent Systems (AAMAS), 521–529.

de Jong S. & Tuyls K. 2009. Learning to cooperate in a continuous tragedy of the commons. In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems – Volume 2, 1185–1186. International Foundation for Autonomous Agents and Multiagent Systems.

Devlin S. & Kudenko D. 2011. Theoretical considerations of potential-based reward shaping for multi-agent systems. In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 225–232.

Devlin S. & Kudenko D. 2012. Dynamic potential-based reward shaping. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 433–440.

Devlin S., Grzes M. & Kudenko D. 2011a. An empirical study of potential-based reward shaping and advice in complex, multi-agent systems. Advances in Complex Systems 14(2), 251–278.

Devlin S., Grzes M. & Kudenko D. 2011b. Multi-agent, potential-based reward shaping for robocup keepaway (extended abstract). In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1227–1228.

Devlin S., Yliniemi L., Kudenko D. & Tumer K. 2014. Potential-based difference rewards for multiagent reinforcement learning. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 165–172.

Grześ M. & Kudenko D. 2009. Theoretical and empirical analysis of reward shaping in reinforcement learning. In International Conference on Machine Learning and Applications, 2009. ICMLA’09, 337–344. IEEE.

Howley E. & Duggan J. 2011. Investing in the commons: a study of openness and the emergence of cooperation. Advances in Complex Systems 14(2), 229–250.

Malialis K., Devlin S. & Kudenko D. 2015. Distributed reinforcement learning for adaptive and robust network intrusion response. Connection Science 27(3), 234–252.

Malialis K., Devlin S. & Kudenko D. 2016. Resource abstraction for reinforcement learning in multiagent congestion problems. In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 503–511.

Mannion P., Duggan J. & Howley E. 2016a. An experimental review of reinforcement learning algorithms for adaptive traffic signal control. In Autonomic Road Transport Support Systems, McCluskey, L. T., Kotsialos, A., Müller, P. J., Klügl, F., Rana, O. & Schumann, R. (eds). Springer International Publishing, 47–66.

Mannion P., Duggan J. & Howley E. 2016b. Generating multi-agent potential functions using counterfactual estimates. In Proceedings of Learning, Inference and Control of Multi-Agent Systems (at NIPS 2016).

Mannion P., Duggan J. & Howley E. 2017. Analysing the effects of reward shaping in multi-objective stochastic games. In Proceedings of the Adaptive and Learning Agents Workshop (at AAMAS 2017).

Mannion P., Mason K., Devlin S., Duggan J. & Howley E. 2016c. Dynamic economic emissions dispatch optimisation using multi-agent reinforcement learning. In Proceedings of the Adaptive and Learning Agents Workshop (at AAMAS 2016).

Mannion P., Mason K., Devlin S., Duggan J. & Howley E. 2016d. Multi-objective dynamic dispatch optimisation using multi-agent reinforcement learning. In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1345–1346.

Mason K., Mannion P., Duggan J. & Howley E. 2016. Applying multi-agent reinforcement learning to watershed management. In Proceedings of the Adaptive and Learning Agents Workshop (at AAMAS 2016).

Ng A. Y., Harada D. & Russell S. J. 1999. Policy invariance under reward transformations: theory and application to reward shaping. In Proceedings of the Sixteenth International Conference on Machine Learning, ICML ’99, 278–287. Morgan Kaufmann Publishers Inc.

Puterman M. L. 1994. Markov Decision Processes: Discrete Stochastic Dynamic Programming, 1st edition. John Wiley & Sons, Inc.

Randløv J. & Alstrøm P. 1998. Learning to drive a bicycle using reinforcement learning and shaping. In Proceedings of the Fifteenth International Conference on Machine Learning, ICML ’98, 463–471. Morgan Kaufmann Publishers Inc.

Shoham Y., Powers R. & Grenager T. 2007. If multi-agent learning is the answer, what is the question? Artificial Intelligence 171, 365–377.

Tumer K. & Agogino A. 2007. Distributed agent-based air traffic flow management. In Proceedings of the 6th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 330–337.

Tumer K., Agogino A. K. & Welch Z. 2009. Traffic congestion management as a learning agent coordination problem. In Multiagent Architectures for Traffic and Transportation Engineering, Bazzan, A. & Kluegl, F. (eds). Lecture notes in AI. Springer, 261–279.

Watkins C. J. & Dayan P. 1992. Technical note: Q-learning. Machine Learning 8, 279–292.

Watkins C. J. C. H. 1989. Learning from Delayed Rewards. PhD thesis, King’s College.

Wiering M. & van Otterlo M. (eds) 2012. Reinforcement Learning: State-of-the-Art. Springer.

Wiewiora E., Cottrell G. & Elkan C. 2003. Principled methods for advising reinforcement learning agents. In Proceedings of the Twentieth International Conference on Machine Learning, 792–799.

Wolpert D. H. & Tumer K. 2002. Collective intelligence, data routing and Braess’ paradox. Journal of Artificial Intelligence Research 16, 359–387.

Wolpert D. H., Wheeler K. R. & Tumer K. 2000. Collective intelligence for control of distributed dynamical systems. EPL (Europhysics Letters) 49(6), 708.

Wooldridge M. 2001. Introduction to Multiagent Systems. John Wiley & Sons Inc.