Decision Sciences · Research topic

Open research questions in Game Theory and Applications

219 gap statements mined from Game Theory and Applications papers in our 4.5M-paper local library, which holds 1,541 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • The lack of understanding of the rate of convergence of the discounted values. The need for a reformulation of the Markovian persuasion model as a Markov decision process.

    On the Monotonicity and Rate of Convergence of the Markovian Persuasion Value · 2026 · DOI
  • The paper identifies a need for a measure-valued MDP approach to derive the value iteration process for stochastic teams.

    Optimality of Symmetric Independent Policies Under Decentralized Mean-Field Information Sharing for Stochastic Teams and Equivalence with McKean−Vlasov Control of a Representative Agent · 2026 · DOI
  • There is a lack of understanding of how strategies and sensitivities coevolve.

    Evolution of noisy learning in games · 2026 · DOI
  • The lack of uniqueness results for Markov perfect equilibria in discrete-time finite-player games. The need for selection criteria in cases where uniqueness fails. The importance of understanding the connection between Markov perfect equilibria and the Nash-Lasry-Lions equation.

    Markov Perfect Equilibria in Discrete Finite-Player and Mean-Field Games · 2026 · DOI
  • Future research can study the case where the agent's activities are easily observable. Future research can study the case where the principals' projects are not physically independent from each other.

    Information alliance in common agency · 2026 · DOI
  • The paper identifies a gap in the literature regarding the characterization of normal-form games for which there exist Nash equilibria using O(1) randomness.

    Playing repeated games with sublinear randomness · 2026 · DOI
  • The gap in the literature is the lack of study on multi-agent systems operating in stochastic environments governed jointly by exogenous factors and by agents' actions. The gap is addressed by the paper's framework and results.

    Learning Empirical Evidence Equilibria under Weak Environmental Coupling · 2026
  • Thirdly, summarising a simulation study, we observe that distributed, mixed-strategy protocols can achieve stable and desirable outcomes, modulated by sensitivity to population diversity, limited information, and strategic agent behaviour.

    Towards Strengthening Decentralised Exchange · 2026 · DOI
  • The existing literature, such as the Virtual Observability Refinement of Weber et al. (2004), does not consider the timing of unobserved moves. The paper identifies a gap in the understanding of strategic behavior in games with unique Nash equilibria. The study aims to fill this gap by introducing the concept of General Virtual Observability.

    Virtual observability in sequential play · 2026 · DOI
  • Future research can focus on extending the approximation method to more general cases. Future research can also focus on applying the partitioned strategy structures and incentive designs to various applications.

    Incentive Stackelberg games for mean-field control with large-scale followers · 2026 · DOI
  • The gap is that directly solving the cross-coupled nonlinear matrix equations becomes computationally infeasible for large populations. The gap is that the mean-field games' utility dramatically reduces the problems dimension as an approximation, but the computational complexity remains high.

    Incentive Stackelberg games for mean-field control with large-scale followers · 2026 · DOI
  • Future research could focus on extending the results to more general setups. The paper suggests that the results could be applied to financial game options.

    Zero-Sum Dynkin Games under Common and Independent Poisson Constraints · 2026 · DOI
  • The paper suggests that future research could explore the application of the framework to other areas of finance. The authors do not provide specific suggestions for future research.

    Mean-Field Price Formation on Trees with Multi-Population and Non-Rational Agents · 2026 · DOI
  • The assumption of complete rationality in traditional game theory models is impossible to achieve. The complexity and limited practicality of the solution process in traditional game theory models.

    Finding the Stable Point of Game: A Quick Solution to Nash Equilibrium · 2026 · DOI
  • To explore the application of the results to various domains. To investigate the role of noisy learning in other contexts.

    Evolution of noisy learning in games · 2026 · DOI
  • We have completely solved the Avoider-Enforcer game on hypergraphs of rank 2 in all cases, and on linear hypergraphs of rank 3 when Avoider is the last player. A first line of research would be to solve the case where Avoider is the last player on general hypergraphs of rank 3, without the linearity constraint.

    The Avoider-Enforcer Game in Hypergraphs of Rank 3 · 2026 · DOI
  • The assumption that players can randomize arbitrarily is non-trivial. True randomness might be scarce or costly and humans are known to have difficulty generating truly random sequences.

    Playing repeated games with sublinear randomness · 2026 · DOI
  • The authors note that prior work does not account for multi-population heterogeneity and non-rational agents.

    Mean-Field Price Formation on Trees with Multi-Population and Non-Rational Agents · 2026 · DOI
  • The paper assumes that the game mediator has limited resources. The paper focuses on the price of stability, namely on the best equilibrium, and does not consider the price of anarchy.

    Instability and Efficiency of Non‐Cooperative Games · 2026 · DOI
  • To study the lower bound on the rate of convergence of the discounted values. To apply the results to other economic fields. To study the behavior of decision makers under uncertainty.

    On the Monotonicity and Rate of Convergence of the Markovian Persuasion Value · 2026 · DOI
  • To establish long-time convergence results for discrete-time finite-player games. To develop more general selection criteria for cases where uniqueness fails. To apply the results to specific dynamic games in economics and other fields.

    Markov Perfect Equilibria in Discrete Finite-Player and Mean-Field Games · 2026 · DOI
  • The paper identifies a gap in the literature on the benefits of using a common agent for multiple projects. The paper identifies a gap in the literature on the effect of information sharing on the principals' payoffs.

    Information alliance in common agency · 2026 · DOI
  • The coalitional value combines two components: an additive internal interaction term and an external exposure term based on minimal incoming evaluations from outside the coalition. Despite this non-additive structure, the game admits an unanimity decomposition with simple structure. This representation enables the derivation of polynomial-time computable formulas for both the Shapley and the Banzhaf values.

    A Tractable Class of Cooperative Games Defined by Directed Networks: Unanimity Decomposition and Shapley Value · 2026
  • Applying the framework to other deployment scenarios. Extending the framework to handle correlated revenues. Investigating the impact of different investment periods on the stability of the grand coalition.

    Co-investment under revenue uncertainty based on stochastic coalitional game theory · 2026 · DOI
  • The paper identifies a gap in the existing literature on mean field games with finite state space and common noise. The paper aims to fill this gap by introducing a novel framework for characterizing mean field equilibria.

    Finite State Mean Field Games with Common Shocks · 2026 · DOI

Most-cited papers in Game Theory and Applications

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Related topics in Decision Sciences

Open questions raised by papers listed on this page include: (1) The lack of understanding of the rate of convergence of the discounted values (“On the Monotonicity and Rate of Convergence of the Markovian Persuasion Value”, 2026); (2) There is a lack of understanding of how strategies and sensitivities coevolve (“Evolution of noisy learning in games”, 2026); (3) The lack of uniqueness results for Markov perfect equilibria in discrete-time finite-player games (“Markov Perfect Equilibria in Discrete Finite-Player and Mean-Field Games”, 2026); (4) Future research can study the case where the agent's activities are easily observable (“Information alliance in common agency”, 2026); (5) Future research can focus on extending the approximation method to more general cases (“Incentive Stackelberg games for mean-field control with large-scale followers”, 2026). 219 gap statements have been mined from Game Theory and Applications papers in our 4.5M-paper local library, which holds 1,541 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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