In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought

31 May 2024

Sili Huang

Jifeng Hu

Hechang Chen

Lichao Sun

Papers citing "In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought"

22 / 22 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 477 3 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 Günter Klambauer Razvan Pascanu Sepp Hochreiter 199 7 0 29 Oct 2024
Supervised Pretraining Can Learn In-Context Reinforcement Learning Jonathan Lee Annie Xie Aldo Pacchiano Yash Chandak Chelsea Finn Ofir Nachum Emma Brunskill OffRL 104 86 0 26 Jun 2023
Chain of Hindsight Aligns Language Models with Feedback Hao Liu Carmelo Sferrazza Pieter Abbeel ALM 118 124 0 06 Feb 2023
In-context Reinforcement Learning with Algorithm Distillation Michael Laskin Luyu Wang Junhyuk Oh Emilio Parisotto Stephen Spencer ... Ethan A. Brooks Maxime Gazeau Himanshu Sahni Satinder Singh Volodymyr Mnih OffRL 66 133 0 25 Oct 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 211 824 0 12 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac Jeff Donahue Pauline Luc Antoine Miech Iain Barr ... Mikolaj Binkowski Ricardo Barreira Oriol Vinyals Andrew Zisserman Karen Simonyan MLLM VLM 418 3,602 0 29 Apr 2022
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 132 828 0 12 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 158 685 0 03 Jun 2021
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 84 108 0 13 Aug 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 143 1,831 0 08 Jun 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 229 1,381 0 15 Apr 2020
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 134 1,066 0 03 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 243 1,624 0 07 Dec 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 99 811 0 21 May 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 235 2,237 0 08 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 983 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 102 1,028 0 09 Nov 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 426 10,531 0 21 Jul 2016
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 129 12,265 0 19 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,021 0 19 Jul 2012