stochastic game

Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games AAAI 2026 Incremental Data-Driven Policy Synthesis via Game Abstractions AAAI 2026 Strongly Polynomial Time Complexity of Policy Iteration for $L_∞$ Robust MDPs COLT 2026 Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making AAAI 2025 Linear Equations with Min and Max Operators: Computational Complexity AAAI 2025 Probabilistic Strategy Logic with Degrees of Observability AAAI 2025 Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations AAAI 2025 Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives AAAI 2025 Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025 A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024 HSVI-based online minimax strategies for partially observable stochastic games with neural perception mechanisms L4DC 2024 Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs IJCAI 2024 Learning ε-Nash equilibrium stationary policies in stochastic games with unknown independent chains using online mirror descent L4DC 2024 Safe Exploitative Play with Untrusted Type Beliefs NeurIPS 2024 Solving Long-run Average Reward Robust MDPs via Stochastic Games IJCAI 2024 A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games NeurIPS 2023 A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games AAAI 2023 Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NeurIPS 2023 Follow my Advice: Assume-Guarantee Approach to Task Planning with Human in the Loop RSS 2023 Multi-Agent Advisor Q-Learning (Extended Abstract) IJCAI 2023 Multi-Agent Learning from Learners ICML 2023 Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract) IJCAI 2023 The Complexity of Markov Equilibrium in Stochastic Games COLT 2023 Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games AAAI 2023 Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward Shaping L4DC 2022