Generalization to New Sequential Decision Making Tasks with In-Context
Learning

Generalization to New Sequential Decision Making Tasks with In-Context Learning

6 December 2023

Sharath Chandra Raparthy

Roberta Raileanu

Papers citing "Generalization to New Sequential Decision Making Tasks with In-Context Learning"

12 / 12 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 71 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 55 4 0 21 Feb 2025
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 84 80 0 07 Mar 2023
Decision Transformer under Random Frame Dropping Kaizhe Hu Rachel Zheng Yang Gao Huazhe Xu OffRL 116 10 0 03 Mar 2023
Transformers generalize differently from information stored in context vs in weights Stephanie C. Y. Chan Ishita Dasgupta Junkyung Kim D. Kumaran Andrew Kyle Lampinen Felix Hill 90 45 0 11 Oct 2022
Hierarchical Decision Transformer André Rosa de Sousa Porfírio Correia L. A. Alexandre OffRL 73 8 0 21 Sep 2022
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez OffRL 130 70 0 08 Sep 2022
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments Keiran Paster Sheila A. McIlraith Jimmy Ba OffRL 118 27 0 31 May 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 118 95 0 28 Jan 2022
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 217 89 0 27 Sep 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017