Anian Ruoss

Mastering Board Games by External and Internal Planning with Language Models

Understanding Prompt Tuning and In-Context Learning via Meta-Learning

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data

Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data

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

Language Modeling Is Compression

Distributional Bellman Operators over Mean Embeddings

Neural Networks and Solomonoff Induction

Generative Reinforcement Learning with Transformers