XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning

13 June 2024

Alexander Nikulin

Viacheslav Sinii

Papers citing "XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning"

11 / 11 papers shown

Title
Yes, Q-learning Helps Offline In-Context RL Denis Tarasov Alexander Nikulin Ilya Zisman Albina Klepach Andrei Polubarov Nikita Lyubaykin Alexander Derevyagin Igor Kiselev Vladislav Kurenkov OffRL OnRL 175 0 0 24 Feb 2025
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Thomas Schmied Thomas Adler Vihang Patil M. Beck Korbinian Poppel Johannes Brandstetter G. Klambauer Razvan Pascanu Sepp Hochreiter 75 5 0 21 Feb 2025
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs Ilya Zisman Alexander Nikulin Andrei Polubarov Nikita Lyubaykin Vladislav Kurenkov Andrei Polubarov Igor Kiselev Vladislav Kurenkov OffRL 50 1 0 04 Nov 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael T. Matthews Michael Beukman Chris Xiaoxuan Lu Jakob Foerster OffRL AI4CE 36 2 0 30 Oct 2024
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning Jiuqi Wang Ethan Blaser Hadi Daneshmand Shangtong Zhang OffRL 90 9 0 22 May 2024
Towards Multimodal In-Context Learning for Vision & Language Models Sivan Doveh Shaked Perek M. Jehanzeb Mirza Wei Lin Amit Alfassy Assaf Arbelle S. Ullman Leonid Karlinsky VLM 114 14 0 19 Mar 2024
Generalization to New Sequential Decision Making Tasks with In-Context Learning Sharath Chandra Raparthy Eric Hambro Robert Kirk Mikael Henaff Roberta Raileanu OffRL 108 21 0 06 Dec 2023
Pre-Training to Learn in Context Yuxian Gu Li Dong Furu Wei Minlie Huang CLIP LRM ReLM 113 37 0 16 May 2023
Structured State Space Models for In-Context Reinforcement Learning Chris Xiaoxuan Lu Yannick Schroecker Albert Gu Emilio Parisotto Jakob N. Foerster Satinder Singh Feryal M. P. Behbahani AI4TS 97 82 0 07 Mar 2023
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 253 695 0 27 Aug 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017