Causal Multi-Agent Reinforcement Learning: Review and Open Problems

12 November 2021

Papers citing "Causal Multi-Agent Reinforcement Learning: Review and Open Problems"

36 / 36 papers shown

Title
Causal Imitation Learning with Unobserved Confounders Junzhe Zhang D. Kumor Elias Bareinboim CML 46 72 0 12 Aug 2022
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 30 40 0 29 Jul 2021
Causal Reinforcement Learning using Observational and Interventional Data Maxime Gasse Damien Grasset Guillaume Gaudron Pierre-Yves Oudeyer CML OffRL 55 51 0 28 Jun 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding Andrew Jesson Sören Mindermann Y. Gal Uri Shalit CML 31 54 0 08 Mar 2021
Causal Markov Decision Processes: Learning Good Interventions Efficiently Yangyi Lu A. Meisami Ambuj Tewari 25 10 0 15 Feb 2021
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs Saeed Kaviani Bo Ryu Ejaz Ahmed Kevin Larson Anh-Ngoc Le Alex Yahja Jae H. Kim 35 19 0 09 Jan 2021
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Sindy Löwe David Madras R. Zemel Max Welling CML BDL AI4TS 74 131 0 18 Jun 2020
Learning to Communicate Using Counterfactual Reasoning Simon Vanneste Astrid Vanneste Kevin Mets Tom De Schepper Ali Anwar Siegfried Mercelis Steven Latré P. Hellinckx OffRL 16 11 0 12 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 72 40 0 12 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 52 69 0 11 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 475 1,994 0 04 May 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 233 1,746 0 18 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 74 215 0 18 Mar 2020
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding Hongseok Namkoong Ramtin Keramati Steve Yadlowsky Emma Brunskill OffRL 98 64 0 12 Mar 2020
A Critical View of the Structural Causal Model Tomer Galanti Ofir Nabati Lior Wolf CML 41 9 0 23 Feb 2020
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 66 455 0 24 Nov 2019
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey Roxana Rădulescu Patrick Mannion D. Roijers A. Nowé 45 140 0 06 Sep 2019
Reinforcement Learning is not a Causal problem Mauricio Gonzalez-Soto F. Orihuela-Espina CML 18 1 0 20 Aug 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 49 41 0 05 Jul 2019
Rethinking Formal Models of Partially Observable Multiagent Decision Making Vojtěch Kovařík Martin Schmid Neil Burch Michael Bowling Viliam Lisý OffRL 81 54 0 26 Jun 2019
Causal Discovery with Reinforcement Learning Shengyu Zhu Ignavier Ng Zhitang Chen CML 35 239 0 11 Jun 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 50 188 0 11 Jun 2019
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning Ercüment Ilhan Jeremy Gow Diego Perez-Liebana 47 35 0 19 Apr 2019
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing T. Weber Yori Zwols S. Racanière A. Guez Jean-Baptiste Lespiau N. Heess CML 103 135 0 15 Nov 2018
TarMAC: Targeted Multi-Agent Communication Abhishek Das Théophile Gervet Joshua Romoff Dhruv Batra Devi Parikh Michael G. Rabbat Joelle Pineau 90 380 0 26 Oct 2018
Learning to Teach in Cooperative Multiagent Reinforcement Learning Shayegan Omidshafiei Dong-Ki Kim Miao Liu Gerald Tesauro Matthew D Riemer Chris Amato Murray Campbell Jonathan P. How 42 135 0 20 May 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 118 1,662 0 30 Mar 2018
World Models David R Ha Jürgen Schmidhuber SyDa 98 1,062 0 27 Mar 2018
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising Junqi Jin Cheng-Ning Song Han Li Kun Gai Jun Wang Weinan Zhang 41 179 0 27 Feb 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning Roberta Raileanu Emily L. Denton Arthur Szlam Rob Fergus 61 200 0 26 Feb 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 66 584 0 23 Feb 2018
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 54 2,062 0 24 May 2017
Learning to Communicate with Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 120 1,600 0 21 May 2016
External Validity: From Do-Calculus to Transportability Across Populations Judea Pearl Elias Bareinboim 37 330 0 05 Mar 2015
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 90 103 0 09 Aug 2014
The Complexity of Decentralized Control of Markov Decision Processes D. Bernstein S. Zilberstein N. Immerman 51 1,588 0 16 Jan 2013