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Decentralized Cooperative Reinforcement Learning with Hierarchical
  Information Structure

Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure

International Conference on Algorithmic Learning Theory (ALT), 2021
1 November 2021
Hsu Kao
Chen-Yu Wei
V. Subramanian
ArXiv (abs)PDFHTML

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

9 / 9 papers shown
Title
Policy Iteration for Pareto-Optimal Policies in Stochastic Stackelberg
  Games
Policy Iteration for Pareto-Optimal Policies in Stochastic Stackelberg Games
Mikoto Kudo
Yohei Akimoto
OffRL
168
0
0
07 May 2024
Decentralized Online Learning in General-Sum Stackelberg Games
Decentralized Online Learning in General-Sum Stackelberg GamesConference on Uncertainty in Artificial Intelligence (UAI), 2024
Yaolong Yu
Haipeng Chen
199
0
0
06 May 2024
Near-Optimal Policy Optimization for Correlated Equilibrium in
  General-Sum Markov Games
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov GamesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yang Cai
Haipeng Luo
Chen-Yu Wei
Weiqiang Zheng
251
13
0
26 Jan 2024
The Synergy Between Optimal Transport Theory and Multi-Agent
  Reinforcement Learning
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
Ali Baheri
Mykel J. Kochenderfer
OT
187
4
0
18 Jan 2024
Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and
  No Communication
Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No CommunicationIEEE Conference on Decision and Control (CDC), 2023
William Chang
Yuanhao Lu
186
2
0
10 Nov 2023
Online Learning in Stackelberg Games with an Omniscient Follower
Online Learning in Stackelberg Games with an Omniscient FollowerInternational Conference on Machine Learning (ICML), 2023
Geng Zhao
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
611
20
0
27 Jan 2023
Provably Efficient Model-free RL in Leader-Follower MDP with Linear
  Function Approximation
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function ApproximationConference on Learning for Dynamics & Control (L4DC), 2022
A. Ghosh
158
3
0
28 Nov 2022
Strategic Decision-Making in the Presence of Information Asymmetry:
  Provably Efficient RL with Algorithmic Instruments
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments
Mengxin Yu
Zhuoran Yang
Jianqing Fan
OffRL
276
9
0
23 Aug 2022
Independent Policy Gradient for Large-Scale Markov Potential Games:
  Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic ConvergenceInternational Conference on Machine Learning (ICML), 2022
Dongsheng Ding
Chen-Yu Wei
Jianchao Tan
M. Jovanović
356
76
0
08 Feb 2022
1