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People construct simplified mental representations to plan
v1v2 (latest)

People construct simplified mental representations to plan

14 May 2021
Mark K. Ho
David Abel
Carlos G. Correa
Michael L. Littman
Jonathan Cohen
Thomas Griffiths
ArXiv (abs)PDFHTML

Papers citing "People construct simplified mental representations to plan"

28 / 28 papers shown
Title
Cognitive maps are generative programs
Cognitive maps are generative programs
Marta Kryven
Cole Wyeth
Aidan Curtis
Kevin Ellis
70
0
0
29 Apr 2025
Information-Seeking Decision Strategies Mitigate Risk in Dynamic, Uncertain Environments
Information-Seeking Decision Strategies Mitigate Risk in Dynamic, Uncertain Environments
Nicholas W. Barendregt
Joshua I. Gold
K. Josić
Zachary P. Kilpatrick
41
0
0
24 Mar 2025
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation
Adam Labiosa
Josiah P. Hanna
82
0
0
07 Mar 2025
Incentives to Build Houses, Trade Houses, or Trade House Building Skills
  in Simulated Worlds under Various Governing Systems or Institutions:
  Comparing Multi-agent Reinforcement Learning to Generative Agent-based Model
Incentives to Build Houses, Trade Houses, or Trade House Building Skills in Simulated Worlds under Various Governing Systems or Institutions: Comparing Multi-agent Reinforcement Learning to Generative Agent-based Model
Aslan S. Dizaji
102
0
0
21 Nov 2024
Imagining and building wise machines: The centrality of AI metacognition
Imagining and building wise machines: The centrality of AI metacognition
Samuel G. B. Johnson
Amir-Hossein Karimi
Yoshua Bengio
Nick Chater
Tobias Gerstenberg
...
Sydney Levine
Melanie Mitchell
Iyad Rahwan
Bernhard Schölkopf
Igor Grossmann
72
4
0
04 Nov 2024
Obstacle-Aware Quadrupedal Locomotion With Resilient Multi-Modal
  Reinforcement Learning
Obstacle-Aware Quadrupedal Locomotion With Resilient Multi-Modal Reinforcement Learning
I Made Aswin Nahrendra
Byeongho Yu
Minho Oh
Dongkyu Lee
Seunghyun Lee
Hyeonwoo Lee
Hyungtae Lim
Hyun Myung
433
2
0
29 Sep 2024
Modeling Rational Adaptation of Visual Search to Hierarchical Structures
Modeling Rational Adaptation of Visual Search to Hierarchical Structures
Saku Sourulahti
Christian P Janssen
Jussi PP Jokinen
123
1
0
13 Sep 2024
Artificial intelligence for science: The easy and hard problems
Artificial intelligence for science: The easy and hard problems
Ruairidh M. Battleday
Samuel Gershman
AIMat
30
0
0
24 Aug 2024
Building Machines that Learn and Think with People
Building Machines that Learn and Think with People
Katherine M. Collins
Ilia Sucholutsky
Umang Bhatt
Kartik Chandra
Lionel Wong
...
Mark K. Ho
Vikash K. Mansinghka
Adrian Weller
Joshua B. Tenenbaum
Thomas Griffiths
133
38
0
22 Jul 2024
People use fast, goal-directed simulation to reason about novel games
People use fast, goal-directed simulation to reason about novel games
Cedegao E. Zhang
Katherine M. Collins
L. Wong
Adrian Weller
Adrian Weller
Joshua B. Tenenbaum
LRM
61
1
0
19 Jul 2024
Satisficing Exploration for Deep Reinforcement Learning
Satisficing Exploration for Deep Reinforcement Learning
Dilip Arumugam
Saurabh Kumar
Ramki Gummadi
Benjamin Van Roy
67
1
0
16 Jul 2024
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
Gabriel H. Sarch
Lawrence Jang
Michael J. Tarr
William W. Cohen
Kenneth Marino
Katerina Fragkiadaki
LLMAG
139
0
0
20 Jun 2024
Control when confidence is costly
Control when confidence is costly
Itzel C. Olivos-Castillo
Paul Schrater
Xaq Pitkow
22
0
0
20 Jun 2024
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from
  Human Input
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input
Andi Peng
Yuying Sun
Tianmin Shu
David Abel
77
4
0
23 May 2024
Learning with Language-Guided State Abstractions
Learning with Language-Guided State Abstractions
Andi Peng
Ilia Sucholutsky
Belinda Z. Li
T. Sumers
Thomas Griffiths
Jacob Andreas
Julie A. Shah
LM&Ro
78
14
0
28 Feb 2024
Preference-Conditioned Language-Guided Abstraction
Preference-Conditioned Language-Guided Abstraction
Andi Peng
Andreea Bobu
Belinda Z. Li
T. Sumers
Ilia Sucholutsky
Nishanth Kumar
Thomas Griffiths
Julie A. Shah
75
13
0
05 Feb 2024
Learning adaptive planning representations with natural language
  guidance
Learning adaptive planning representations with natural language guidance
L. Wong
Jiayuan Mao
Pratyusha Sharma
Zachary S. Siegel
Jiahai Feng
Noa Korneev
Joshua B. Tenenbaum
Jacob Andreas
LM&Ro
92
28
0
13 Dec 2023
Concept Alignment as a Prerequisite for Value Alignment
Concept Alignment as a Prerequisite for Value Alignment
Sunayana Rane
Mark K. Ho
Ilia Sucholutsky
Thomas Griffiths
CVBM
55
6
0
30 Oct 2023
AI for Mathematics: A Cognitive Science Perspective
AI for Mathematics: A Cognitive Science Perspective
Cedegao E. Zhang
Katherine M. Collins
Adrian Weller
Joshua B. Tenenbaum
80
11
0
19 Oct 2023
From task structures to world models: What do LLMs know?
From task structures to world models: What do LLMs know?
ilker. yildirim
L. A. Paul
85
53
0
06 Oct 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for
  Human-interpretable Representation Learning
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning
Emanuele Marconato
Andrea Passerini
Stefano Teso
95
17
0
14 Sep 2023
ANPL: Towards Natural Programming with Interactive Decomposition
ANPL: Towards Natural Programming with Interactive Decomposition
Di Huang
Ziyuan Nan
Xingui Hu
Pengwei Jin
Shaohui Peng
...
Rui Zhang
Zidong Du
Qi Guo
Yewen Pu
Yunji Chen
87
9
0
29 May 2023
Bayesian Reinforcement Learning with Limited Cognitive Load
Bayesian Reinforcement Learning with Limited Cognitive Load
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
OffRL
86
8
0
05 May 2023
To think inside the box, or to think out of the box? Scientific
  discovery via the reciprocation of insights and concepts
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts
Yueqi Shi
Manjie Xu
Wenjuan Han
Yixin Zhu
LRM
32
1
0
01 Dec 2022
What Images are More Memorable to Machines?
What Images are More Memorable to Machines?
Junlin Han
Huangying Zhan
Jie Hong
Pengfei Fang
Hongdong Li
L. Petersson
Ian Reid
71
3
0
14 Nov 2022
Humans decompose tasks by trading off utility and computational cost
Humans decompose tasks by trading off utility and computational cost
Carlos G. Correa
Mark K. Ho
Frederick Callaway
Nathaniel D. Daw
Thomas Griffiths
66
34
0
07 Nov 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement
  Learning
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
91
4
0
30 Oct 2022
A space of goals: the cognitive geometry of informationally bounded
  agents
A space of goals: the cognitive geometry of informationally bounded agents
Karen Archer
Nicola Catenacci Volpi
F. Bröker
Daniel Polani
50
5
0
05 Nov 2021
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