In this paper we survey the basics of reinforcement learning and (evolutionary) game theory, applied to the field of multi-agent systems. This paper contains three parts. We start with an overview on the fundamentals of reinforcement learning. Next we summarize the most important aspects of evolutionary game theory. Finally, we discuss the state-of-the-art of multi-agent reinforcement learning and the mathematical connection with evolutionary game theory.
KARL TUYLS, ANN NOWÉ. 2005. Evolutionary game theory and multi-agent reinforcement learning. The Knowledge Engineering Review. 20: doi: 10.1017/S026988890500041X
KARL TUYLS, ANN NOWÉ. 2005. Evolutionary game theory and multi-agent reinforcement learning. The Knowledge Engineering Review. 20: doi: 10.1017/S026988890500041X
Abstract: In this paper we survey the basics of reinforcement learning and (evolutionary) game theory, applied to the field of multi-agent systems. This paper contains three parts. We start with an overview on the fundamentals of reinforcement learning. Next we summarize the most important aspects of evolutionary game theory. Finally, we discuss the state-of-the-art of multi-agent reinforcement learning and the mathematical connection with evolutionary game theory.
KARL TUYLS, ANN NOWÉ. 2005. Evolutionary game theory and multi-agent reinforcement learning. The Knowledge Engineering Review. 20: doi: 10.1017/S026988890500041X
KARL TUYLS, ANN NOWÉ. 2005. Evolutionary game theory and multi-agent reinforcement learning. The Knowledge Engineering Review. 20: doi: 10.1017/S026988890500041X
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KARL TUYLS, ANN NOWÉ. 2005. Evolutionary game theory and multi-agent reinforcement learning. The Knowledge Engineering Review. 20: doi: 10.1017/S026988890500041X
KARL TUYLS, ANN NOWÉ. 2005. Evolutionary game theory and multi-agent reinforcement learning. The Knowledge Engineering Review. 20: doi: 10.1017/S026988890500041X
