activity
20072026
most citedReinforcement Learning Produces Dominant Strategies for the Iterated Prisoner's Dilemma

57 citations · 98 across the 12 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.GT2019

Memory depth of finite state machine strategies for the iterated prisoner's dilemma

T. J. Gaffney, Marc Harper, Vincent A. Knight

We develop an efficient algorithm to determine the memory-depth of finite state machines and apply the algorithm to a collection of iterated prisoner's dilemma strategies. The calc…

cs.GT2019

Using a theory of mind to find best responses to memory-one strategies

Nikoleta E. Glynatsi, Vincent A. Knight

Memory-one strategies are a set of Iterated Prisoner's Dilemma strategies that have been praised for their mathematical tractability and performance against single opponents. This…

physics.soc-ph2019

A bibliometric study of research topics, collaboration and centrality in the Iterated Prisoner's Dilemma

Nikoleta E. Glynatsi, Vincent A. Knight

This manuscript explores the research topics and collaborative behaviour of authors in the field of the Prisoner's Dilemma using topic modeling and a graph theoretic analysis of th…

cs.DS2019

Evolutionary Dataset Optimisation: learning algorithm quality through evolution

Henry Wilde, Vincent Knight, Jonathan Gillard

In this paper we propose a novel method for learning how algorithms perform. Classically, algorithms are compared on a finite number of existing (or newly simulated) benchmark data…

cs.GT2019★ 3 cited

Recognising and evaluating the effectiveness of extortion in the Iterated Prisoner's Dilemma

Vincent A. Knight, Marc Harper, Nikoleta E. Glynatsi +1

Since the introduction of zero-determinant strategies, extortionate strategies have received considerable interest. While an interesting class of strategies, the definitions of ext…