Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure

1 November 2021

Papers citing "Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure"

11 / 11 papers shown

Title
Policy Iteration for Pareto-Optimal Policies in Stochastic Stackelberg Games Mikoto Kudo Yohei Akimoto OffRL 32 0 0 07 May 2024
Decentralized Online Learning in General-Sum Stackelberg Games Yaolong Yu Haipeng Chen 39 0 0 06 May 2024
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games Yang Cai Haipeng Luo Chen-Yu Wei Weiqiang Zheng 32 7 0 26 Jan 2024
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning Ali Baheri Mykel J. Kochenderfer OT 26 3 0 18 Jan 2024
Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No Communication William Chang Yuanhao Lu 13 1 0 10 Nov 2023
Online Learning in Stackelberg Games with an Omniscient Follower Geng Zhao Banghua Zhu Jiantao Jiao Michael I. Jordan 35 14 0 27 Jan 2023
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation A. Ghosh 25 1 0 28 Nov 2022
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments Mengxin Yu Zhuoran Yang Jianqing Fan OffRL 21 8 0 23 Aug 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence Dongsheng Ding Chen-Yu Wei Kaipeng Zhang M. Jovanović 30 69 0 08 Feb 2022
Bayesian Algorithms for Decentralized Stochastic Bandits Anusha Lalitha Andrea J. Goldsmith 34 15 0 20 Oct 2020
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits Peter Landgren Vaibhav Srivastava Naomi Ehrich Leonard 85 68 0 03 Mar 2020