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Acquisition of Chess Knowledge in AlphaZero

Acquisition of Chess Knowledge in AlphaZero

17 November 2021
Thomas McGrath
A. Kapishnikov
Nenad Tomašev
Adam Pearce
Demis Hassabis
Been Kim
Ulrich Paquet
Vladimir Kramnik
ArXivPDFHTML

Papers citing "Acquisition of Chess Knowledge in AlphaZero"

29 / 29 papers shown
Title
Transformers Use Causal World Models in Maze-Solving Tasks
Transformers Use Causal World Models in Maze-Solving Tasks
Alex F Spies
William Edwards
Michael I. Ivanitskiy
Adrians Skapars
Tilman Rauker
Katsumi Inoue
A. Russo
Murray Shanahan
128
1
0
16 Dec 2024
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation
Jaechang Kim
Jinmin Goh
Inseok Hwang
Jaewoong Cho
Jungseul Ok
ELM
28
1
0
28 Oct 2024
Mastering Chess with a Transformer Model
Mastering Chess with a Transformer Model
Daniel Monroe
The Leela Chess Zero Team
27
3
0
18 Sep 2024
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large
  Vision-Language Models
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models
Xueliang Zhao
Xinting Huang
Tingchen Fu
Qintong Li
Shansan Gong
Lemao Liu
Wei Bi
Lingpeng Kong
LRM
37
1
0
21 Feb 2024
Opening the AI black box: program synthesis via mechanistic
  interpretability
Opening the AI black box: program synthesis via mechanistic interpretability
Eric J. Michaud
Isaac Liao
Vedang Lad
Ziming Liu
Anish Mudide
Chloe Loughridge
Zifan Carl Guo
Tara Rezaei Kheirkhah
Mateja Vukelić
Max Tegmark
23
12
0
07 Feb 2024
Analysis of the expected $L_2$ error of an over-parametrized deep neural
  network estimate learned by gradient descent without regularization
Analysis of the expected L2L_2L2​ error of an over-parametrized deep neural network estimate learned by gradient descent without regularization
Selina Drews
Michael Kohler
36
2
0
24 Nov 2023
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
Hong Li
Xingyu Li
Pengbo Hu
Yinuo Lei
Chunxiao Li
Yi Zhou
39
20
0
15 Aug 2023
Concept backpropagation: An Explainable AI approach for visualising
  learned concepts in neural network models
Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models
Patrik Hammersborg
Inga Strümke
FAtt
21
0
0
24 Jul 2023
Uncovering Unique Concept Vectors through Latent Space Decomposition
Uncovering Unique Concept Vectors through Latent Space Decomposition
Mara Graziani
Laura Mahony
An-phi Nguyen
Henning Muller
Vincent Andrearczyk
43
4
0
13 Jul 2023
Take 5: Interpretable Image Classification with a Handful of Features
Take 5: Interpretable Image Classification with a Handful of Features
Thomas Norrenbrock
Marco Rudolph
Bodo Rosenhahn
FAtt
40
7
0
23 Mar 2023
A Toy Model of Universality: Reverse Engineering How Networks Learn
  Group Operations
A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations
Bilal Chughtai
Lawrence Chan
Neel Nanda
18
96
0
06 Feb 2023
Policy-Value Alignment and Robustness in Search-based Multi-Agent
  Learning
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning
Niko A. Grupen
M. Hanlon
Alexis Hao
Daniel D. Lee
B. Selman
19
0
0
27 Jan 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
Yotam Amitai
Guy Avni
Ofra Amir
40
3
0
24 Jan 2023
Against Algorithmic Exploitation of Human Vulnerabilities
Against Algorithmic Exploitation of Human Vulnerabilities
Inga Strümke
Marija Slavkovik
Clemens Stachl
16
0
0
12 Jan 2023
Improving Chess Commentaries by Combining Language Models with Symbolic
  Reasoning Engines
Improving Chess Commentaries by Combining Language Models with Symbolic Reasoning Engines
Andrew Lee
David Wu
Emily Dinan
M. Lewis
LRM
25
7
0
15 Dec 2022
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
24
9
0
15 Dec 2022
Reinforcement Learning in an Adaptable Chess Environment for Detecting
  Human-understandable Concepts
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts
Patrik Hammersborg
Inga Strümke
17
5
0
10 Nov 2022
Neurosymbolic Programming for Science
Neurosymbolic Programming for Science
Jennifer J. Sun
Megan Tjandrasuwita
Atharva Sehgal
Armando Solar-Lezama
Swarat Chaudhuri
Yisong Yue
Omar Costilla-Reyes
NAI
37
12
0
10 Oct 2022
In-context Learning and Induction Heads
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
250
460
0
24 Sep 2022
The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning Perspective
Richard Ngo
Lawrence Chan
Sören Mindermann
54
183
0
30 Aug 2022
Attention-based Interpretable Regression of Gene Expression in Histology
Attention-based Interpretable Regression of Gene Expression in Histology
Mara Graziani
Niccolo Marini
Nicolas Deutschmann
Nikita Janakarajan
Henning Muller
María Rodríguez Martínez
MedIm
43
5
0
29 Aug 2022
On the independence between phenomenal consciousness and computational
  intelligence
On the independence between phenomenal consciousness and computational intelligence
E.C. Garrido-Merchán
S. Lumbreras
AI4CE
25
3
0
03 Aug 2022
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Zou
145
185
0
31 May 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Frederik Pahde
Maximilian Dreyer
Leander Weber
Moritz Weckbecker
Christopher J. Anders
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
57
7
0
07 Feb 2022
Detecting danger in gridworlds using Gromov's Link Condition
Detecting danger in gridworlds using Gromov's Link Condition
Thomas F Burns
R. Tang
AI4CE
28
2
0
17 Jan 2022
Automatic Discovery and Description of Human Planning Strategies
Automatic Discovery and Description of Human Planning Strategies
Julian Skirzyñski
Y. Jain
Falk Lieder
25
1
0
29 Sep 2021
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable
  and Advisable AI Systems
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems
Subbarao Kambhampati
S. Sreedharan
Mudit Verma
Yantian Zha
L. Guan
49
47
0
21 Sep 2021
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
226
405
0
24 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,684
0
28 Feb 2017
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