Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning

20 April 2023

Papers citing "Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning"

19 / 19 papers shown

Title
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 112 3 0 30 Dec 2023
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise Yoshinari Motokawa T. Sugawara 32 2 0 19 May 2022
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 136 1,642 0 02 Jun 2021
Joint Attention for Multi-Agent Coordination and Social Learning Dennis Lee Natasha Jaques Chase Kew Jiaxing Wu Douglas Eck Dale Schuurmans Aleksandra Faust 40 8 0 15 Apr 2021
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning Xueguang Lyu Yuchen Xiao Brett Daley Chris Amato OffRL 57 106 0 08 Feb 2021
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning P. Parnika Raghuram Bharadwaj Diddigi Sai Koti Reddy Danda S. Bhatnagar 82 19 0 07 Jan 2021
Explainable Reinforcement Learning: A Survey Erika Puiutta Eric M. S. P. Veith XAI 66 247 0 13 May 2020
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 88 365 0 13 Oct 2019
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 67 751 0 05 Oct 2018
Transparency and Explanation in Deep Reinforcement Learning Neural Networks R. Iyer Yuezhang Li Huao Li M. Lewis R. Sundar Katia Sycara 42 174 0 17 Sep 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 137 532 0 14 Jun 2018
Multi-focus Attention Network for Efficient Deep Reinforcement Learning Jinyoung Choi Beom-Jin Lee Byoung-Tak Zhang 54 48 0 13 Dec 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,265 0 06 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 713 131,652 0 12 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 4,485 0 07 Jun 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,989 0 04 Mar 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013