Game theory.

By Martin A. Dufwenberg. 2011

5,984 citations recorded by the source corpus.

Subfields: General Decision Sciences, Management Science and Operations Research, Safety Research, Game & Decision Theory

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Citations in the corpus

Contextual Dueling Bandits (2015, background): “Such games are known to have value exactly equal to zero (see, for instance, (Owen, 1995, Theorem II.6.2)).”
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games (2017, methodology): “We formulate it as a zero-sum Stochastic Game (SG) (Owen 1995), i.e., a dynamic game in a multiple state situation played by multiple agents.”
Learning with Opponent-Learning Awareness (2017, background): “In a single-shot prisoners’ dilemma, there is only one Nash equilibrium Fudenberg and Tirole (1991), where both agents defect.”
AI Safety Gridworlds (2017, background): “Such game-theoretic distinctions (Fudenberg and Tirole, 1991) are not treated in the reinforcement learning framework (Sutton and Barto, 1998).”
A survey and critique of multiagent deep reinforcement learning (2018, background): “The task is formalized as a signaling game [206] in which two agents, a sender and a receiver, obtain a pair of images.”
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play (2016, background): “Game theory [26] is a widely applicable discipline that aims to model adversarial and collaborative interactions between rational decision-makers.”
Strategic Motive for Introducing Internet Channels in a Supply Chain (2014, methodology): “Since the game involves multiple rounds of strategic interactions, we adopt the subgame perfect Nash equilibrium as our solution concept (Fudenberg and Tirole 1991).”
Contracting and Coordination under Asymmetric Production Cost Information (2012, background): “If the supplier chooses the contract ð / ~ h ; q ~ h Þ when he is of type h 6¼ ~ h , his proﬁt will be Based on the revelation principle (see Fudenberg and Tirole 1991, Myerson 1979), there is an optimal contract menu from which the supplier will choose the contract that is intended for his type.”
Cognitive Medium Access: Exploration, Exploitation, and Competition (2007, background): “The following result derives a sufﬁcient condition for the Nash equilibrium [20] in the asymptotic scenario K → ∞ . is large and at each time slot, there are τ i K users sensing channel i , where τ i satisﬁes At this equilibrium, each user has probability of transmitting at each time slot.”
Impact of Supply Chain Transparency on Sustainability under NGO Scrutiny (2018, positive): “We will apply the deﬁnition of the perfect Bayesian equilibrium (PBE) , according to the classical economics literature (e.g., Fudenberg and Tirole 1991, Spence 1973, Bolton and Dewatripont 2005).”
A Dynamic Model of the Limit Order Book (2009, positive): “Since in this paper nature mixes over time by bringing agents according to a Poisson process, it is most natural to consider strategies mixed over time. equilibrium, and Markov perfect equilibrium (see Fudenberg and Tirole 1991, chap.”
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity (2017, background): “3 Game theory Game theory studies decision problems when several agents interact (Fudenberg and Tirole, 1991).”
Mining adversarial patterns via regularized loss minimization (2010, background): “As each player seeks to achieve as high a payoff as possible in each of their moves, they will arrive in a state of Nash equilibrium when their rational strategies interact: the state of Nash equilibrium means that simultaneously each player is using the strategy that is the best response to the str”
Directed Search in the Housing Market (2010, background): “Instead, we appeal to the “D1 refinement” (Banks and Sobel 1987; see also Fudenberg and Tirole 1992, p. 452).”
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence (2019, background): “Rock, Paper, and Scissors in normal-form game [63] and Cyclic Game in [4] are both special cases of F CP ; see Lemmas 2 and 3 in the supplementary material [2].”
A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks (2018, methodology): “The analysis of the new protocol is based on the formulation of a normal-form game [123], and thus the equilibrium strategy of each node can be obtained through iterative removal of dominated strategies.”