Machine Theory of Mind

21 February 2018

Papers citing "Machine Theory of Mind"

50 / 212 papers shown

Title
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration Xavier Puig Tianmin Shu Shuang Li Zilin Wang Yuan-Hong Liao J. Tenenbaum Sanja Fidler Antonio Torralba LM&Ro 96 123 0 19 Oct 2020
Explainable Representations of the Social State: A Model for Social Human-Robot Interactions Daniel Hernández García Yanchao Yu Weronika Sieiñska Jose L. Part Nancie Gunson Oliver Lemon Christian Dondrup FAtt 10 2 0 09 Oct 2020
Learning Not to Learn: Nature versus Nurture in Silico R. T. Lange Henning Sprekeler 12 11 0 09 Oct 2020
Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar Ishita Dasgupta J. Cohen Nathaniel D. Daw Thomas L. Griffiths OffRL 6 3 0 05 Oct 2020
Latent State Inference in a Spatiotemporal Generative Model Matthias Karlbauer Tobias Menge S. Otte Hendrik P. A. Lensch Thomas Scholten V. Wulfmeyer Martin Volker Butz 23 1 0 21 Sep 2020
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning D. Nguyen Svetha Venkatesh Phuoc Nguyen T. Tran 26 10 0 16 Sep 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 23 168 0 07 Jul 2020
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Niklas Höpner Filippos Christianos Stefano V. Albrecht 6 54 0 18 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 11 61 0 16 Jun 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 11 21 0 17 Apr 2020
Should I tear down this wall? Optimizing social metrics by evaluating novel actions János Kramár Neil C. Rabinowitz Tom Eccles Andrea Tacchetti 11 5 0 16 Apr 2020
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition Zhentao Tang Yuanheng Zhu Dongbin Zhao Simon Lucas 19 28 0 31 Mar 2020
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 47 767 0 19 Mar 2020
Real-World Human-Robot Collaborative Reinforcement Learning A. Shafti Jonas Tjomsland William Dudley Aldo A. Faisal 26 17 0 02 Mar 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 24 353 0 14 Feb 2020
RL agents Implicitly Learning Human Preferences Nevan Wichers AI4CE 15 0 0 14 Feb 2020
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems Georgios Papoudakis Stefano V. Albrecht BDL DRL 6 29 0 29 Jan 2020
I Feel I Feel You: A Theory of Mind Experiment in Games Dávid Melhárt Georgios N. Yannakakis Antonios Liapis 6 11 0 23 Jan 2020
Interactive AI with a Theory of Mind M. Çelikok Tomi Peltola Pedram Daee Samuel Kaski 20 19 0 01 Dec 2019
Motion Reasoning for Goal-Based Imitation Learning De-An Huang Yu-Wei Chao Chris Paxton Xinke Deng Li Fei-Fei Juan Carlos Niebles Animesh Garg D. Fox 21 12 0 13 Nov 2019
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 8 68 0 31 Oct 2019
Modeling Conceptual Understanding in Image Reference Games Rodolfo Corona Stephan Alaniz Zeynep Akata 14 27 0 10 Oct 2019
Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties Jan Pöppel S. Kopp 14 2 0 23 Sep 2019
Building Second-Order Mental Models for Human-Robot Interaction Connor Brooks D. Szafir 6 20 0 14 Sep 2019
On Memory Mechanism in Multi-Agent Reinforcement Learning Yilun Zhou Derrik E. Asher Nicholas R. Waytowich J. Shah 17 2 0 11 Sep 2019
Transferring Adaptive Theory of Mind to social robots: insights from developmental psychology to robotics F. Bianco D. Ognibene 6 8 0 31 Aug 2019
Functional advantages of an adaptive Theory of Mind for robotics: a review of current architectures F. Bianco D. Ognibene 11 13 0 31 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 40 408 0 11 Aug 2019
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor 15 50 0 22 Jul 2019
Perspective Taking in Deep Reinforcement Learning Agents Aqeel Labash Jaan Aru Tambet Matiisen Ardi Tampuu Raul Vicente LRM 11 11 0 03 Jul 2019
On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference Rohin Shah Noah Gundotra Pieter Abbeel Anca Dragan 11 70 0 23 Jun 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 16 186 0 11 Jun 2019
Multi-Turn Beam Search for Neural Dialogue Modeling Ilia Kulikov Jason D. Lee Kyunghyun Cho 20 3 0 01 Jun 2019
Modeling Theory of Mind in Multi-Agent Games Using Adaptive Feedback Control Ismael T. Freire X. Arsiwalla J. Puigbò P. Verschure AI4CE 8 13 0 29 May 2019
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 22 30 0 17 May 2019
Meta-learners' learning dynamics are unlike learners' Neil C. Rabinowitz OffRL 17 16 0 03 May 2019
The Hanabi Challenge: A New Frontier for AI Research Nolan Bard Jakob N. Foerster A. Chandar Neil Burch Marc Lanctot ... Iain Dunning Shibl Mourad Hugo Larochelle Marc G. Bellemare Michael H. Bowling LLMAG 13 351 0 01 Feb 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 16 52 0 26 Jan 2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen Yaodong Yang Rui Luo Jun Wang Wei Pan LRM 14 146 0 26 Jan 2019
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies Thomy Phan Kyrill Schmid Lenz Belzner Thomas Gabor Sebastian Feld Claudia Linnhoff-Popien 14 5 0 25 Jan 2019
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning Michael Shum Max Kleiman-Weiner Michael L. Littman J. Tenenbaum AI4CE 14 80 0 18 Jan 2019
On the potential for open-endedness in neural networks N. Guttenberg N. Virgo A. Penn 13 10 0 12 Dec 2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning Natasha Jaques Angeliki Lazaridou Edward Hughes Çağlar Gülçehre Pedro A. Ortega D. Strouse Joel Z. Leibo Nando de Freitas 15 57 0 19 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 23 144 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 27 549 0 12 Oct 2018
Learning to Communicate Implicitly By Actions Zheng Tian Shihao Zou Ian Davies Tim Warr Lisheng Wu Haitham Bou-Ammar Jun Wang 17 24 0 10 Oct 2018
Interactive Agent Modeling by Learning to Probe Tianmin Shu Caiming Xiong Ying Nian Wu Song-Chun Zhu LM&Ro 11 2 0 01 Oct 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 20 53 0 29 Sep 2018
Relational Forward Models for Multi-Agent Learning Andrea Tacchetti H. F. Song P. Mediano V. Zambaldi Neil C. Rabinowitz T. Graepel M. Botvinick Peter W. Battaglia AI4CE 8 76 0 28 Sep 2018
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning Gregory Palmer Rahul Savani K. Tuyls 20 27 0 13 Sep 2018