Co-occurring keywords · papers mentioning both
Papers
Independent Learning in Performative Markov Potential Games
AISTATS 2025
Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization
AAAI 2025
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
AISTATS 2024
Provable Policy Gradient Methods for Average-Reward Markov Potential Games
AISTATS 2024
Policy Gradient Play with Networked Agents in Markov Potential Games
L4DC 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
NeurIPS 2023
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
ICLR 2022
Independent Natural Policy Gradient always converges in Markov Potential Games
AISTATS 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
ICML 2022
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
NeurIPS 2022
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
ICML 2022
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games
NeurIPS 2022
Learning Parametric Closed-Loop Policies for Markov Potential Games
ICLR 2018