Understanding Decisions in Collective Risk Social Dilemma Games Using Reinforcement Learning

2020 ◽  
Vol 12 (4) ◽  
pp. 824-840
Author(s):  
Medha Kumar ◽  
Varun Dutt
1994 ◽  
Vol 38 (1) ◽  
pp. 138-148 ◽  
Author(s):  
Vladimir Akimov ◽  
Michail Soutchanski

2020 ◽  
Vol 53 (2) ◽  
pp. 2838-2843
Author(s):  
E. Martirosyan ◽  
A. Govaert ◽  
M. Cao

Games ◽  
2015 ◽  
Vol 6 (3) ◽  
pp. 368-380
Author(s):  
Michalis Drouvelis

2003 ◽  
Vol 01 (03) ◽  
pp. 321-335 ◽  
Author(s):  
LI ZHANG ◽  
TAD HOGG

Quantum generalizations of conventional games exploit entangled states to improve performance. With many players, quantum games can require entangling many states. Such entanglement is difficult to implement, especially if the states must be communicated over some distance. To simplify possible implementations, we examine some quantum versions of social dilemma games and show their use of entanglement can be substantially reduced by randomly replacing some of the entangled states by unentangled ones. For the example of public goods games, we identify a unique Nash equilibrium invariant with respect to the amount of this replacement. We also show players obtain no advantage from adding more entanglement to states which they control. With many players, a fairly small number of entangled states can give nearly as good performance as using the full number of such states.


2018 ◽  
Vol 88 ◽  
pp. 300-310 ◽  
Author(s):  
Jan Stoop ◽  
Daan van Soest ◽  
Jana Vyrastekova

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