Partially Observable Stochastic Games

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15 papers4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

  1. Conservative Policy Iteration For Zero-Sum POSGs

    Oct 27, 2026Erwan C. Escudie, Matthia Sabatelli, Jilles Steeve DibangoyePartially Observable Stochastic GamesZero-Sum Games

    University of Groningen

  2. Reward Objectives for Robust (PO)MDPs: A Law-Preserving Equivalence with (Partially Observable) Games

    Oct 19, 2026Durgam Latha, Dion Reji, Dorde Zikelic +1Partially Observable Stochastic GamesRobust Partially Observable Markov Decision Processes

    Indian Institute of Technology Bombay Mumbai, India · Nanyang Technological University Singapore, Singapore

  3. On Symmetry for Characterizing Agent Heterogeneity in Multi-Agent Systems

    Oct 13, 2026Jianhong Wang, Jonathan LawryPartially Observable Stochastic GamesMulti-Agent Systems

    INFORMED-AI Hub, University of Bristol · School of Engineering Mathematics and Technology, University of Bristol

  4. When Does Opponent Modeling Pay Off? Spatial Inference Stabilises Reinforcement Learning under Partial Observability

    Oct 13, 2026Marcel Petran, Stefan EdelkampOpponent ModelingMulti-Agent Reinforcement Learning

    Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic

  5. Orchestrating Level-KK Policies Against Unknown Opponents in Partially-Observable Dynamic Games

    Oct 4, 2026Addison Kalanther, Sanika Bharvirkar, Daniel Bostwick +2Multi-Agent OrchestrationMulti-Agent Reinforcement Learning

    EECS, University of California, Berkeley, CA, USA · ECE, Johns Hopkins University, Baltimore, MD, USA

  6. Solving Robust POMDPs with Omega-regular Objectives via Partially Observable Stochastic Games

    Aug 25, 2026Durgam Latha, Dion Reji, S. Akshay +2Robust Markov Decision ProcessesPartially Observable Stochastic Games

    Indian Institute of Technology Bombay Mumbai, India · Nanyang Technological University Singapore, Singapore

  7. Mobile Target Search with Imperfect Perception: A Partially Observable Stochastic Game Theoretical Approach

    Jun 18, 2026Hanzheng Zhang, Shu Liang, Shuyu LiuImperfect-Information GamesGame Theory

    Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China · Department of Control Science and Engineering, Tongji University, Shanghai, China

  8. DNQ: Deep Nash Q-Network for Partially Observable n-Player Games

    Jun 4, 2026Qintong Xie, Edward Koh, Xavier Cadet +1Nash EquilibriumReinforcement Learning

  9. Minimax-Optimal Policy Regret in Partially Observable Markov Games

    Jun 1, 2026Raman AroraRegret Minimization in RLImperfect-Information Games

    Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.

  10. Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics

    May 7, 2026Philip Jordan, Maryam KamgarpourNash Equilibrium ComputationReinforcement Learning

    SYCAMORE, EPFL

  11. Nash Approximation Gap in Truncated Infinite-horizon Partially Observable Markov Games

    Apr 6, 2026Lan Sang, Chinmay MaheshwariPartially Observable Stochastic GamesImperfect-Information Games

    Applied Mathematics and Statistics at Johns Hopkins University, Baltimore, MD, USA · Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA

  12. Internal State-Based Policy Gradient Methods for Partially Observable Markov Potential Games

    Apr 1, 2026Wonseok Yang, Thinh T. DoanNatural Policy GradientMulti-Agent Reinforcement Learning

    University of Texas at Austin, Austin, TX, 78712 USA

  13. SkyNet: Belief-Aware Planning for Partially-Observable Stochastic Games

    Mar 29, 2026Adam HailePartially Observable Stochastic GamesImperfect-Information Games

    Dwight and Dian Diercks School of Advanced Computing Milwaukee School of Engineering 1025 N Broadway St, Milwaukee, WI 53202

  14. Opponent State Inference Under Partial Observability: An HMM-POMDP Framework for 2026 Formula 1 Energy Strategy

    Mar 1, 2026Kalliopi KleisarchakiPartially Observable Stochastic GamesOpponent Modeling

    Independent Researcher

  15. AIDG: A Formal Decomposition of Information Extraction and Containment Asymmetries in Multi-Turn LLM Dialogue

    Feb 19, 2026Adib Sakhawat, Fardeen Sadab, Rakin ShahriarPartially Observable Stochastic GamesMulti-Turn Dialogue Evaluation

    Department of Computer Science and Engineering, Islamic University of Technology, Dhaka, Bangladesh