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Machine Theory of Mind

Machine Theory of Mind

21 February 2018
Neil C. Rabinowitz
Frank Perbet
H. F. Song
Chiyuan Zhang
S. M. Ali Eslami
M. Botvinick
    AI4CE
ArXivPDFHTML

Papers citing "Machine Theory of Mind"

50 / 212 papers shown
Title
Multi-Agent Sequential Decision-Making via Communication
Multi-Agent Sequential Decision-Making via Communication
Ziluo Ding
Kefan Su
Wei-xing Hong
Liwen Zhu
Tiejun Huang
Zongqing Lu
13
1
0
26 Sep 2022
In conversation with Artificial Intelligence: aligning language models
  with human values
In conversation with Artificial Intelligence: aligning language models with human values
Atoosa Kasirzadeh
Iason Gabriel
15
98
0
01 Sep 2022
Interaction Modeling with Multiplex Attention
Interaction Modeling with Multiplex Attention
Fan-Yun Sun
Isaac Kauvar
Ruohan Zhang
Jiachen Li
Mykel Kochenderfer
Jiajun Wu
Nick Haber
21
18
0
23 Aug 2022
Basis for Intentions: Efficient Inverse Reinforcement Learning using
  Past Experience
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience
Marwa Abdulhai
Natasha Jaques
Sergey Levine
OffRL
14
5
0
09 Aug 2022
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian
  Theory of Mind
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind
Tan Zhi-Xuan
Nishad Gothoskar
Falk Pollok
Dan Gutfreund
J. Tenenbaum
Vikash K. Mansinghka
19
9
0
04 Aug 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in
  Large Networked Systems
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
Miguel Suau
Jinke He
Mustafa Mert cCelikok
M. Spaan
F. Oliehoek
14
1
0
01 Jul 2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and
  Acquisition at Inference Time
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
Tailin Wu
Megan Tjandrasuwita
Zhengxuan Wu
Xuelin Yang
Kevin Liu
Rok Sosivc
J. Leskovec
16
22
0
30 Jun 2022
BOSS: A Benchmark for Human Belief Prediction in Object-context
  Scenarios
BOSS: A Benchmark for Human Belief Prediction in Object-context Scenarios
Jiafei Duan
Samson Yu
Nicholas Tan
Li Yi
Cheston Tan
12
8
0
21 Jun 2022
Using Natural Language and Program Abstractions to Instill Human
  Inductive Biases in Machines
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines
Sreejan Kumar
Carlos G. Correa
Ishita Dasgupta
Raja Marjieh
Michael Y. Hu
Robert D. Hawkins
Nathaniel D. Daw
Jonathan D. Cohen
Karthik Narasimhan
Thomas L. Griffiths
AI4CE
14
30
0
23 May 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches
Modeling Human Behavior Part I -- Learning and Belief Approaches
Andrew Fuchs
A. Passarella
M. Conti
24
7
0
13 May 2022
Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human
  Drivers
Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers
Rohan Chandra
Mingyu Wang
Mac Schwager
Dinesh Manocha
15
10
0
01 May 2022
Learning Theory of Mind via Dynamic Traits Attribution
Learning Theory of Mind via Dynamic Traits Attribution
D. Nguyen
Phuoc Nguyen
Hung Le
Kien Do
Svetha Venkatesh
T. Tran
12
5
0
17 Apr 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and
  Machine Learning
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning
Sreejan Kumar
Ishita Dasgupta
Nathaniel D. Daw
J. Cohen
Thomas L. Griffiths
27
10
0
04 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Jaan Aru
Aqeel Labash
Oriol Corcoll
Raul Vicente
20
26
0
30 Mar 2022
On the link between conscious function and general intelligence in
  humans and machines
On the link between conscious function and general intelligence in humans and machines
Arthur Juliani
Kai Arulkumaran
Shuntaro Sasai
Ryota Kanai
34
24
0
24 Mar 2022
Learning to Infer Belief Embedded Communication
Learning to Infer Belief Embedded Communication
Guo Ye
Han Liu
B. Sengupta
16
0
0
15 Mar 2022
A Survey on Reinforcement Learning Methods in Character Animation
A Survey on Reinforcement Learning Methods in Character Animation
Ariel Kwiatkowski
Eduardo Alvarado
Vicky Kalogeiton
C. Karen Liu
Julien Pettré
M. van de Panne
Marie-Paule Cani
AI4CE
12
44
0
07 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural General Intelligence Team
Avishkar Bhoopchand
Bethanie Brownfield
Adrian Collister
Agustin Dal Lago
...
Alex Platonov
Evan Senter
Sukhdeep Singh
Alexander Zacherl
Lei M. Zhang
VLM
40
11
0
01 Mar 2022
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum
  Generation
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation
Yuqing Du
Pieter Abbeel
Aditya Grover
31
18
0
22 Feb 2022
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination
Keane Lucas
R. Allen
51
23
0
28 Jan 2022
Modeling Human-AI Team Decision Making
Modeling Human-AI Team Decision Making
Wei Ye
Francesco Bullo
N. Friedkin
Ambuj K. Singh
9
3
0
08 Jan 2022
Resonating Minds -- Emergent Collaboration Through Hierarchical Active
  Inference
Resonating Minds -- Emergent Collaboration Through Hierarchical Active Inference
Jan Pöppel
Sebastian Kahl
S. Kopp
17
10
0
02 Dec 2021
Multi-Agent Intention Sharing via Leader-Follower Forest
Multi-Agent Intention Sharing via Leader-Follower Forest
Zeyang Liu
Lipeng Wang
Xuefeng Sui
Kewu Sun
Xuguang Lan
26
3
0
02 Dec 2021
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior
Rohan Chandra
Aniket Bera
Dinesh Manocha
46
22
0
04 Nov 2021
Incorporating Rich Social Interactions Into MDPs
Incorporating Rich Social Interactions Into MDPs
Ravi Tejwani
Yen-Ling Kuo
Tianmin Shu
Bennett Stankovits
Dan Gutfreund
J. Tenenbaum
Boris Katz
Andrei Barbu
15
5
0
19 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with
  Theory of Mind
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuan-Fang Wang
Fangwei Zhong
Jing Xu
Yizhou Wang
LLMAG
19
68
0
15 Oct 2021
Learning to Assist Agents by Observing Them
Learning to Assist Agents by Observing Them
Antti Keurulainen
Isak Westerlund
Samuel Kaski
Alexander Ilin
17
0
0
04 Oct 2021
MindCraft: Theory of Mind Modeling for Situated Dialogue in
  Collaborative Tasks
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
Cristian-Paul Bara
Sky CH-Wang
J. Chai
65
61
0
13 Sep 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing
  Human Trust in Image Recognition Models
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
Arjun Reddy Akula
Keze Wang
Changsong Liu
Sari Saba-Sadiya
Hongjing Lu
S. Todorovic
J. Chai
Song-Chun Zhu
22
47
0
03 Sep 2021
Cognitive science as a source of forward and inverse models of human
  decisions for robotics and control
Cognitive science as a source of forward and inverse models of human decisions for robotics and control
Mark K. Ho
Thomas L. Griffiths
17
35
0
01 Sep 2021
Model-Based Opponent Modeling
Model-Based Opponent Modeling
Xiaopeng Yu
Jiechuan Jiang
Wanpeng Zhang
Haobin Jiang
Zongqing Lu
OffRL
19
28
0
04 Aug 2021
Few-shot Language Coordination by Modeling Theory of Mind
Few-shot Language Coordination by Modeling Theory of Mind
Hao Zhu
Graham Neubig
Yonatan Bisk
17
35
0
12 Jul 2021
Levels of explainable artificial intelligence for human-aligned
  conversational explanations
Levels of explainable artificial intelligence for human-aligned conversational explanations
Richard Dazeley
Peter Vamplew
Cameron Foale
Charlotte Young
Sunil Aryal
F. Cruz
30
89
0
07 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement
  Learning Agents
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Grgur Kovač
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
ALM
27
6
0
02 Jul 2021
Deep Interpretable Models of Theory of Mind
Deep Interpretable Models of Theory of Mind
Ini Oguntola
Dana Hughes
Katia P. Sycara
HAI
25
23
0
07 Apr 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Andy Shih
Arjun Sawhney
J. Kondic
Stefano Ermon
Dorsa Sadigh
28
37
0
07 Apr 2021
Causal Analysis of Agent Behavior for AI Safety
Causal Analysis of Agent Behavior for AI Safety
Grégoire Delétang
Jordi Grau-Moya
Miljan Martic
Tim Genewein
Tom McGrath
Vladimir Mikulik
M. Kunesch
Shane Legg
Pedro A. Ortega
CML
16
6
0
05 Mar 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei
Akilesh Badrinaaraayanan
Aaron Courville
Sarath Chandar
CLL
OffRL
11
40
0
04 Mar 2021
PHASE: PHysically-grounded Abstract Social Events for Machine Social
  Perception
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
Aviv Netanyahu
Tianmin Shu
Boris Katz
Andrei Barbu
J. Tenenbaum
15
37
0
02 Mar 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using
  Successor Features and Inverse Temporal Difference Learning
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
Angelos Filos
Clare Lyle
Y. Gal
Sergey Levine
Natasha Jaques
Gregory Farquhar
13
22
0
24 Feb 2021
AGENT: A Benchmark for Core Psychological Reasoning
AGENT: A Benchmark for Core Psychological Reasoning
Tianmin Shu
Abhishek Bhandwaldar
Chuang Gan
Kevin A. Smith
Shari Liu
Dan Gutfreund
E. Spelke
J. Tenenbaum
T. Ullman
34
66
0
24 Feb 2021
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and
  actions of others
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
Kanishk Gandhi
Gala Stojnic
Brenden Lake
M. Dillon
46
46
0
23 Feb 2021
ROAD: The ROad event Awareness Dataset for Autonomous Driving
ROAD: The ROad event Awareness Dataset for Autonomous Driving
Gurkirt Singh
Stephen Akrigg
Manuele Di Maio
Valentina Fontana
Reza Javanmard Alitappeh
...
Salman Khan
S. Grazioso
Andrew Bradley
G. Gironimo
Fabio Cuzzolin
27
89
0
23 Feb 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
Wenhao Li
Xiangfeng Wang
Bo Jin
Junjie Sheng
H. Zha
25
7
0
21 Feb 2021
Neural Recursive Belief States in Multi-Agent Reinforcement Learning
Neural Recursive Belief States in Multi-Agent Reinforcement Learning
Pol Moreno
Edward Hughes
Kevin R. McKee
Bernardo Avila-Pires
T. Weber
18
21
0
03 Feb 2021
Guilty Artificial Minds
Guilty Artificial Minds
M. Stuart
Markus Kneer
22
32
0
24 Jan 2021
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
L. Zintgraf
Sam Devlin
K. Ciosek
Shimon Whiteson
Katja Hofmann
BDL
6
42
0
11 Jan 2021
Predicting Human Strategies in Simulated Search and Rescue Task
Predicting Human Strategies in Simulated Search and Rescue Task
Vidhi Jain
Rohit Jena
Huao Li
Tejus Gupta
Dana Hughes
M. Lewis
Katia P. Sycara
41
8
0
15 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie
Dylan P. Losey
R. Tolsma
Chelsea Finn
Dorsa Sadigh
DRL
13
132
0
12 Nov 2020
Improving Dialog Systems for Negotiation with Personality Modeling
Improving Dialog Systems for Negotiation with Personality Modeling
Runzhe Yang
Jingxiao Chen
Karthik Narasimhan
6
46
0
20 Oct 2020
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