RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value
Factorization

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization

3 November 2023

Yongquan Fu

Papers citing "RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization"

8 / 8 papers shown

Title
Boosting Offline Optimizers with Surrogate Sensitivity Manh Cuong Dao Phi Le Nguyen Thao Nguyen Truong Trong Nghia Hoang OffRL 57 4 0 06 Mar 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies Zhouyu He Peng Qiao Rongchun Li Yong Dou Yusong Tan OffRL 57 0 0 27 Feb 2025
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics S. Hazra P. Dasgupta Soumyajit Dey 36 0 0 21 Jan 2025
On Stateful Value Factorization in Multi-Agent Reinforcement Learning Enrico Marchesini Andrea Baisero Rupali Bhati Christopher Amato OffRL 21 3 0 27 Aug 2024
Tractable Equilibrium Computation in Markov Games through Risk Aversion Eric Mazumdar Kishan Panaganti Laixi Shi 39 1 0 20 Jun 2024
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review Hafez Ghaemi Shirin Jamshidi Mohammad Mashreghi M. N. Ahmadabadi Hamed Kebriaei 37 1 0 10 Jun 2024
Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation Tonghe Zhang Yu Chen Longbo Huang 44 0 0 28 Feb 2024
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 70 310 0 06 Jun 2015