Predicting User Perception of Move Brilliance in Chess
Fuente:
arXiv
Saved in:
| Main Authors: | Zaidi, Kamron, Guerzhoy, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible
by: Guerzhoy, Michael
Published: (2024)
by: Guerzhoy, Michael
Published: (2024)
Oracle-Guided Soft Shielding for Safe Move Prediction in Chess
by: Rajendran, Prajit T, et al.
Published: (2026)
by: Rajendran, Prajit T, et al.
Published: (2026)
Predicting Human Chess Moves: An AI Assisted Analysis of Chess Games Using Skill-group Specific n-gram Language Models
by: Zhong, Daren, et al.
Published: (2025)
by: Zhong, Daren, et al.
Published: (2025)
A Behavior-Based Knowledge Representation Improves Prediction of Players' Moves in Chess by 25%
by: Skidanov, Benny, et al.
Published: (2025)
by: Skidanov, Benny, et al.
Published: (2025)
ChessQA: Evaluating Large Language Models for Chess Understanding
by: Wen, Qianfeng, et al.
Published: (2025)
by: Wen, Qianfeng, et al.
Published: (2025)
Generating Creative Chess Puzzles
by: Feng, Xidong, et al.
Published: (2025)
by: Feng, Xidong, et al.
Published: (2025)
Complete Chess Games Enable LLM Become A Chess Master
by: Zhang, Yinqi, et al.
Published: (2025)
by: Zhang, Yinqi, et al.
Published: (2025)
Vision-Language Models on the Edge for Real-Time Robotic Perception
by: Ahmad, Sarat, et al.
Published: (2026)
by: Ahmad, Sarat, et al.
Published: (2026)
Toward Modeling Player-Specific Chess Behaviors
by: Sogliuzzo, Loris, et al.
Published: (2026)
by: Sogliuzzo, Loris, et al.
Published: (2026)
ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models
by: Liu, Jincheng, et al.
Published: (2025)
by: Liu, Jincheng, et al.
Published: (2025)
Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout
by: Gundawar, Atharva, et al.
Published: (2024)
by: Gundawar, Atharva, et al.
Published: (2024)
Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents
by: Poupart, Yoann
Published: (2024)
by: Poupart, Yoann
Published: (2024)
Grounded Chess Reasoning in Language Models via Master Distillation
by: Tang, Zhenwei, et al.
Published: (2026)
by: Tang, Zhenwei, et al.
Published: (2026)
Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess
by: Tang, Zhenwei, et al.
Published: (2025)
by: Tang, Zhenwei, et al.
Published: (2025)
Explore the Reasoning Capability of LLMs in the Chess Testbed
by: Wang, Shu, et al.
Published: (2024)
by: Wang, Shu, et al.
Published: (2024)
Human-aligned Chess with a Bit of Search
by: Zhang, Yiming, et al.
Published: (2024)
by: Zhang, Yiming, et al.
Published: (2024)
Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024)
by: Rigaux, Tomas, et al.
Published: (2024)
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions
by: Veeriah, Vivek, et al.
Published: (2025)
by: Veeriah, Vivek, et al.
Published: (2025)
Maia-2: A Unified Model for Human-AI Alignment in Chess
by: Tang, Zhenwei, et al.
Published: (2024)
by: Tang, Zhenwei, et al.
Published: (2024)
Abstract Concept Modelling in Conceptual Spaces: A Study on Chess Strategies
by: Banaee, Hadi, et al.
Published: (2026)
by: Banaee, Hadi, et al.
Published: (2026)
Tracking vs. Deciding: The Dual-Capability Bottleneck in Searchless Chess Transformers
by: Li, Quanhao, et al.
Published: (2026)
by: Li, Quanhao, et al.
Published: (2026)
Complete Implementation of WXF Chinese Chess Rules
by: Tan, Daniel, et al.
Published: (2024)
by: Tan, Daniel, et al.
Published: (2024)
Mastering Chinese Chess AI (Xiangqi) Without Search
by: Chen, Yu, et al.
Published: (2024)
by: Chen, Yu, et al.
Published: (2024)
Towards Piece-by-Piece Explanations for Chess Positions with SHAP
by: Spinnato, Francesco
Published: (2025)
by: Spinnato, Francesco
Published: (2025)
Iterative Inference in a Chess-Playing Neural Network
by: Sandmann, Elias, et al.
Published: (2025)
by: Sandmann, Elias, et al.
Published: (2025)
Diversifying AI: Towards Creative Chess with AlphaZero
by: Zahavy, Tom, et al.
Published: (2023)
by: Zahavy, Tom, et al.
Published: (2023)
Tracking World States with Language Models: State-Based Evaluation Using Chess
by: Harang, Romain, et al.
Published: (2025)
by: Harang, Romain, et al.
Published: (2025)
Improving Human Performance with Value-Aware Interventions: A Case Study in Chess
by: Narayanan, Saumik, et al.
Published: (2026)
by: Narayanan, Saumik, et al.
Published: (2026)
Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models
by: Tang, Ethan
Published: (2026)
by: Tang, Ethan
Published: (2026)
Mixture of Masters: Sparse Chess Language Models with Player Routing
by: Frisoni, Giacomo, et al.
Published: (2026)
by: Frisoni, Giacomo, et al.
Published: (2026)
Implicit Search via Discrete Diffusion: A Study on Chess
by: Ye, Jiacheng, et al.
Published: (2025)
by: Ye, Jiacheng, et al.
Published: (2025)
Beyond Accuracy: A Geometric Stability Analysis of Large Language Models in Chess Evaluation
by: Song, Xidan, et al.
Published: (2025)
by: Song, Xidan, et al.
Published: (2025)
Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers
by: Czech, Johannes, et al.
Published: (2023)
by: Czech, Johannes, et al.
Published: (2023)
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
by: Ruoss, Anian, et al.
Published: (2024)
by: Ruoss, Anian, et al.
Published: (2024)
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network
by: Jenner, Erik, et al.
Published: (2024)
by: Jenner, Erik, et al.
Published: (2024)
LLM CHESS: Benchmarking Reasoning and Instruction-Following in LLMs through Chess
by: Kolasani, Sai, et al.
Published: (2025)
by: Kolasani, Sai, et al.
Published: (2025)
Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
by: Hamade, Karim, et al.
Published: (2024)
by: Hamade, Karim, et al.
Published: (2024)
Xiangqi-R1: Enhancing Spatial Strategic Reasoning in LLMs for Chinese Chess via Reinforcement Learning
by: Chen, Yuhao, et al.
Published: (2025)
by: Chen, Yuhao, et al.
Published: (2025)
Learning the Latent Rules of a Game from Data: A Chess Story
by: Fauber, Ben
Published: (2024)
by: Fauber, Ben
Published: (2024)
Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess
by: Bertram, Timo, et al.
Published: (2024)
by: Bertram, Timo, et al.
Published: (2024)
Similar Items
-
Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible
by: Guerzhoy, Michael
Published: (2024) -
Oracle-Guided Soft Shielding for Safe Move Prediction in Chess
by: Rajendran, Prajit T, et al.
Published: (2026) -
Predicting Human Chess Moves: An AI Assisted Analysis of Chess Games Using Skill-group Specific n-gram Language Models
by: Zhong, Daren, et al.
Published: (2025) -
A Behavior-Based Knowledge Representation Improves Prediction of Players' Moves in Chess by 25%
by: Skidanov, Benny, et al.
Published: (2025) -
ChessQA: Evaluating Large Language Models for Chess Understanding
by: Wen, Qianfeng, et al.
Published: (2025)