Cover Image

Amortized Planning with Large-Scale Transformers: A Case Study on Chess

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ruoss, Anian, Delétang, Grégoire, Medapati, Sourabh, Grau-Moya, Jordi, Wenliang, Li Kevin, Catt, Elliot, Reid, John, Lewis, Cannada A., Veness, Joel, Genewein, Tim
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Universal Predictors
by: Grau-Moya, Jordi, et al.
Published: (2024)

Language Modeling Is Compression
by: Delétang, Grégoire, et al.
Published: (2023)

Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
by: Heurtel-Depeiges, David, et al.
Published: (2024)

Why is prompting hard? Understanding prompts on binary sequence predictors
by: Wenliang, Li Kevin, et al.
Published: (2025)

Understanding Prompt Tuning and In-Context Learning via Meta-Learning
by: Genewein, Tim, et al.
Published: (2025)

Distributional Bellman Operators over Mean Embeddings
by: Wenliang, Li Kevin, et al.
Published: (2023)

Your Policy Regularizer is Secretly an Adversary
by: Brekelmans, Rob, et al.
Published: (2022)

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
by: Ruoss, Anian, et al.
Published: (2024)

Partition Tree Weighting for Non-Stationary Stochastic Bandits
by: Veness, Joel, et al.
Published: (2025)

Mastering Board Games by External and Internal Planning with Language Models
by: Schultz, John, et al.
Published: (2024)

The Olympic Training Field for Planning Quality Library Services.
by: Catt, Martha E.
Published: (1995)

Training neural networks faster with minimal tuning using pre-computed lists of hyperparameters for NAdamW
by: Medapati, Sourabh, et al.
Published: (2025)

Evaluating Frontier Models for Dangerous Capabilities
by: Phuong, Mary, et al.
Published: (2024)

Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data
by: Rai, Prashant, et al.
Published: (2019)

Auf Pump
by: Ruoss, Matthias
Published: (2025)

Schweizerdeutsch und Sprachbewusstsein
by: Ruoss, Emanuel
Published: (2020)

Learning by solving differential equations
by: Dherin, Benoit, et al.
Published: (2025)

An Information-Theoretic Diagnostic Analytics Framework for Mapping Past-Future Dependence in Horizon-Specific Forecastability
by: Catt, Peter Maurice
Published: (2026)

Forecastability as an Information-Theoretic Limit on Prediction
by: Catt, Peter Maurice
Published: (2026)

On the Limits of Prediction: Forecastability Profiles and Information Decay in Time Series
by: Catt, Peter Maurice
Published: (2026)

Predicting Chess Puzzle Difficulty with Transformers
by: Miłosz, Szymon, et al.
Published: (2024)

Mastering Chess with a Transformer Model
by: Monroe, Daniel, et al.
Published: (2024)

Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
by: Hamade, Karim, et al.
Published: (2024)

How far away are truly hyperparameter-free learning algorithms?
by: Kasimbeg, Priya, et al.
Published: (2025)

Liquid Reasoning Transformers: A Sudoku-Based Prototype for Chess-Scale Algorithmic Tasks
by: Sahni, Shivansh, et al.
Published: (2025)

Rafael M. Mérida Jiménez (2016). Transbarcelonas. Cultura, género y sexualidad en la España del siglo XX. Barcelona: Edicions Bellaterra. ISBN: 9788472907423
by: Jordi Mas Grau
Published: (2016)

A Generative Model of Conspicuous Consumption and Status Signaling
by: Cross, Logan, et al.
Published: (2026)

Towards flexible perception with visual memory
by: Geirhos, Robert, et al.
Published: (2024)

Inferring Piece Value in Chess and Chess Variants
by: Pav, Steven
Published: (2025)

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess
by: Tang, Zhenwei, et al.
Published: (2025)

Out-of-distribution Tests Reveal Compositionality in Chess Transformers
by: Mészáros, Anna, et al.
Published: (2025)

Maia-2: A Unified Model for Human-AI Alignment in Chess
by: Tang, Zhenwei, et al.
Published: (2024)

Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents
by: Poupart, Yoann
Published: (2024)

Symmetry-Aware Transformer Training for Automated Planning
by: Fritzsche, Markus, et al.
Published: (2025)

Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications
by: Elliot Maceda, et al.
Published: (2026)

ChessQA: Evaluating Large Language Models for Chess Understanding
by: Wen, Qianfeng, et al.
Published: (2025)

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
by: Schmied, Thomas, et al.
Published: (2025)

Tracing the Thought of a Grandmaster-level Chess-Playing Transformer
by: Lin, Rui, et al.
Published: (2026)

Academic drifts in vocational, professional, and continuing education: A multi-perspective approach for the case of Switzerland
by: Neumann, Jörg, et al.
Published: (2025)

Complete Chess Games Enable LLM Become A Chess Master
by: Zhang, Yinqi, et al.
Published: (2025)