conftrace_

stochastic game

69 papers

Explore in graph

Also known as

SG

Co-occurring keywords

multi-agent system (1819) game theory (854) nash equilibrium (398) zero-sum game (190) reinforcement learning (4352) regret bound (1926) multi-agent reinforcement learning (538) temporal logic (105) policy iteration (99) multi-agent learning (98)

Papers

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
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025
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
HSVI-based online minimax strategies for partially observable stochastic games with neural perception mechanisms L4DC 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs IJCAI 2024
Solving Long-run Average Reward Robust MDPs via Stochastic Games IJCAI 2024
Safe Exploitative Play with Untrusted Type Beliefs NIPS 2024
Learning $\epsilon$-Nash equilibrium stationary policies in stochastic games with unknown independent chains using online mirror descent L4DC 2024
Multi-Agent Advisor Q-Learning (Extended Abstract) IJCAI 2023
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games NIPS 2023
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract) IJCAI 2023
Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games AAAI 2023
The Complexity of Markov Equilibrium in Stochastic Games COLT 2023
Multi-Agent Learning from Learners ICML 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 NIPS 2023
Follow my Advice: Assume-Guarantee Approach to Task Planning with Human in the Loop RSS 2023
On the convergence of policy gradient methods to Nash equilibria in general stochastic games NIPS 2022
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games L4DC 2022