Gradient Based Method for Symmetric and Asymmetric Multiagent Reinforcement Learning

Author:

Könönen Ville

Publisher

Springer Berlin Heidelberg

Reference4 articles.

1. Baird, L., Moore, A.: Gradient descent for general reinforcement learning. In: Kearns, M., Solla, S., Cohn, D. (eds.) Advances in Neural Information Processing Systems, Cambridge, MA, USA, vol. 11. MIT Press, Cambridge (1999)

2. Cottle, R.W., Stone, R.E., Pang, J.-S.: The Linear Complementarity Problem. Academic Press, New York (1992)

3. Filar, J.A., Vrieze, K.: Competitive Markov Decision Processes. Springer, New York (1997)

4. Hu, J., Wellman, M.P.: Multiagent reinforcement learning: Theoretical framework and an algorithm. In: Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), Madison, Wisconsin, USA. Morgan Kaufmann Publishers, San Francisco (July 1998)

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1. Multi-agent Dynamic Pricing Using Reinforcement Learning and Asymmetric Information;Lecture Notes in Operations Research;2023

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