MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning

25 May 2022

Evangelos E. Papalexakis

Fei Fang

OffRL

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Papers citing "MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning"

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Title
Explaining Decisions of Agents in Mixed-Motive Games Maayan Orner Oleg Maksimov Akiva Kleinerman Charles Ortiz Sarit Kraus 128 1 0 28 Jan 2025
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 82 54 0 17 Feb 2022
Local Explanations for Reinforcement Learning Ronny Luss Amit Dhurandhar Miao Liu FAtt OffRL 37 3 0 08 Feb 2022
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez 53 63 0 04 Oct 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 132 1,250 0 02 Mar 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 45 36 0 25 Feb 2021
Flatland-RL : Multi-Agent Reinforcement Learning on Trains Sharada Mohanty Erik Nygren Florian Laurent Manuel Schneider Christian Scheller ... Christian Baumberger Gereon Vienken Irene Sturm Guillaume Sartoretti G. Spigler OffRL 77 58 0 10 Dec 2020
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System Xinzhi Wang Huao Li Hui Zhang M. Lewis Katia Sycara 34 4 0 04 Aug 2020
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library Dmitry Kazhdan Z. Shams Pietro Lio 45 17 0 16 Apr 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 161 1,823 0 13 Dec 2019
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy Aaron M. Roth Nicholay Topin Pooyan Jamshidi Manuela Veloso OffRL 54 48 0 02 Jul 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 52 805 0 14 May 2019
Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach Marc Brittain Peng Wei DRL 30 36 0 02 May 2019
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 78 295 0 27 Nov 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 67 751 0 05 Oct 2018
Verifiable Reinforcement Learning via Policy Extraction Osbert Bastani Yewen Pu Armando Solar-Lezama OffRL 122 337 0 22 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 143 1,671 0 30 Mar 2018
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 67 1,006 0 16 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,482 0 07 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 122 2,074 0 24 May 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 186 597 0 28 Feb 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 180 3,699 0 10 Jun 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 344 19,643 0 09 Mar 2015
Optimal and Approximate Q-value Functions for Decentralized POMDPs F. Oliehoek M. Spaan N. Vlassis OffRL 110 498 0 31 Oct 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 216 3,216 0 02 Nov 2010