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Figure 1

From: α-Rank: Multi-Agent Evaluation by Evolution

Figure 1

Paper at a glance. Numerical ordering of the concept boxes corresponds to the paper flow, with sections and/or theorems indicated where applicable. Due to the technical background necessary for fully understanding the paper contribution, we give readers the choice of a ‘short’ vs. ‘long’ read-through of the paper, with the short read-through consisting of the sections highlighted in green in this figure and suited for the reader who wants to quickly grasp the high-level ideas, and the long read-through consisting of all technical details. The methods and ideas used herein may be classified broadly as either game-theoretic solution concepts (namely, static or dynamic) and evolutionary dynamics concepts (namely, continuous- or discrete-time). The insights gained by analyzing existing concepts and developing new theoretical results carves a pathway to the novel combination of our general multi-agent evaluation method, \(\alpha \)-Rank, and our game-theoretic solution concept, Markov-Conley Chains.

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