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Evidence of Learned Look-Ahead in a Chess-Playing Neural Network

Evidence of Learned Look-Ahead in a Chess-Playing Neural Network

2 June 2024
Erik Jenner
Shreyas Kapur
Vasil Georgiev
Cameron Allen
Scott Emmons
Stuart J. Russell
ArXiv (abs)PDFHTML

Papers citing "Evidence of Learned Look-Ahead in a Chess-Playing Neural Network"

13 / 13 papers shown
Exploring Human-AI Conceptual Alignment through the Prism of Chess
Exploring Human-AI Conceptual Alignment through the Prism of Chess
Semyon Lomasov
Judah Goldfeder
Mehmet Hamza Erol
Matthew So
Yao Yan
Addison Howard
Nathan Kutz
Ravid Shwartz-Ziv
124
0
0
29 Oct 2025
How Do LLMs Use Their Depth?
How Do LLMs Use Their Depth?
Akshat Gupta
Jay Yeung
Gopala Anumanchipalli
Anna Ivanova
81
0
0
21 Oct 2025
Iterative Inference in a Chess-Playing Neural Network
Iterative Inference in a Chess-Playing Neural Network
Elias Sandmann
Sebastian Lapuschkin
Wojciech Samek
123
1
0
29 Aug 2025
Detecting and Characterizing Planning in Language Models
Detecting and Characterizing Planning in Language Models
Jatin Nainani
Sankaran Vaidyanathan
Connor Watts
Andre N. Assis
Alice Rigg
LLMAGLRM
92
0
0
25 Aug 2025
Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNN
Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNN
Mohammad Taufeeque
Aaron David Tucker
Adam Gleave
Adrià Garriga-Alonso
297
0
0
11 Jun 2025
Understanding the learned look-ahead behavior of chess neural networks
Understanding the learned look-ahead behavior of chess neural networks
Diogo Cruz
317
0
0
26 May 2025
$K$-MSHC: Unmasking Minimally Sufficient Head Circuits in Large Language Models with Experiments on Syntactic Classification Tasks
KKK-MSHC: Unmasking Minimally Sufficient Head Circuits in Large Language Models with Experiments on Syntactic Classification Tasks
Pratim Chowdhary
Peter Chin
Deepernab Chakrabarty
282
0
0
18 May 2025
Predicting Chess Puzzle Difficulty with Transformers
Predicting Chess Puzzle Difficulty with TransformersBigData Congress [Services Society] (BSS), 2024
Szymon Miłosz
Paweł Kapusta
165
5
0
31 Dec 2024
ICLR: In-Context Learning of Representations
ICLR: In-Context Learning of RepresentationsInternational Conference on Learning Representations (ICLR), 2024
Core Francisco Park
Andrew Lee
Ekdeep Singh Lubana
Yongyi Yang
Maya Okawa
Kento Nishi
Martin Wattenberg
Hidenori Tanaka
AIFin
536
23
0
29 Dec 2024
Transformers Use Causal World Models in Maze-Solving Tasks
Transformers Use Causal World Models in Maze-Solving Tasks
Alex F Spies
William Edwards
Michael Ivanitskiy
Adrians Skapars
Tilman Rauker
Katsumi Inoue
A. Russo
Murray Shanahan
892
7
0
16 Dec 2024
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
Brandon Knutson
Amandin Chyba Rabeendran
Michael Ivanitskiy
Jordan Pettyjohn
Cecilia G. Diniz Behn
Samy Wu Fung
Daniel McKenzie
LRM
457
5
0
03 Oct 2024
Mastering Chess with a Transformer Model
Mastering Chess with a Transformer Model
Daniel Monroe
The Leela Chess Zero Team
242
11
0
18 Sep 2024
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic
  Interpretability in Large Language Models
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
Tianyi Men
Pengfei Cao
Zhuoran Jin
Yubo Chen
Kang Liu
Jun Zhao
LLMAGAIFin
236
15
0
23 Jun 2024
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