Prompting Decision Transformer for Few-Shot Policy Generalization

27 June 2022

Ding Zhao

Chuang Gan

Papers citing "Prompting Decision Transformer for Few-Shot Policy Generalization"

26 / 26 papers shown

Title
Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations Minseok Song JeongHo Ha Bonggyeong Park Daehyung Park 117 0 0 01 May 2025
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision Shilin Zhang Zican Hu Wenhao Wu Xinyi Xie Jianxiang Tang Chunlin Chen Daoyi Dong Yu Cheng Zhenhong Sun Zhi Wang OffRL 118 0 0 21 Apr 2025
Few-Shot Task Learning through Inverse Generative Modeling Aviv Netanyahu Yilun Du Antonia Bronars Jyothish Pari J. Tenenbaum Tianmin Shu Pulkit Agrawal 49 1 0 07 Nov 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement Zhi Wang Li Lyna Zhang Wenhao Wu Yuanheng Zhu Dongbin Zhao C. L. Philip Chen OffRL 33 6 0 15 Oct 2024
Predictive Coding for Decision Transformer T. Luu Donghoon Lee Chang D. Yoo OffRL 58 1 0 04 Oct 2024
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Jie Cheng Ruixi Qiao Gang Xiong Binhua Li Yingwei Ma Binhua Li Yongbin Li Yisheng Lv OffRL OnRL LM&Ro 50 3 0 01 Oct 2024
Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence Luo Ji Runji Lin OffRL AI4CE LM&Ro 26 0 0 11 Sep 2024
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces Perusha Moodley Pramod S. Kaushik Dhillu Thambi Mark Trovinger Praveen Paruchuri Xia Hong Benjamin Rosman 48 0 0 01 Jul 2024
Residual-MPPI: Online Policy Customization for Continuous Control Pengcheng Wang Chenran Li Catherine Weaver Kenta Kawamoto M. Tomizuka Chen Tang Wei Zhan OffRL 29 3 0 01 Jul 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics Xinyu Zhang Wenjie Qiu Yi-Chen Li Lei Yuan Chengxing Jia Zongzhang Zhang Yang Yu OffRL 30 1 0 17 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 37 7 0 04 Feb 2024
In-Context Reinforcement Learning for Variable Action Spaces Viacheslav Sinii Alexander Nikulin Vladislav Kurenkov Ilya Zisman Sergey Kolesnikov 16 14 0 20 Dec 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 36 0 0 26 Sep 2023
Large Language Models as General Pattern Machines Suvir Mirchandani F. Xia Peter R. Florence Brian Ichter Danny Driess Montse Gonzalez Arenas Kanishka Rao Dorsa Sadigh Andy Zeng LLMAG 48 183 0 10 Jul 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya-Qin Zhang Dacheng Tao OffRL 26 14 0 16 May 2023
Contextual Transformer for Offline Meta Reinforcement Learning Runji Lin Ye Li Xidong Feng Zhaowei Zhang Xian Hong Wu Fung Haifeng Zhang Jun Wang Yali Du Yaodong Yang OffRL 18 6 0 15 Nov 2022
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao Xiaochen Li Tongzhou Mu Zhiao Huang Yuzhe Qin Hao Su 17 3 0 14 Oct 2022
VIMA: General Robot Manipulation with Multimodal Prompts Yunfan Jiang Agrim Gupta Zichen Zhang Guanzhi Wang Yongqiang Dou Yanjun Chen Li Fei-Fei Anima Anandkumar Yuke Zhu Linxi Fan LM&Ro 24 334 0 06 Oct 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans John J. Nay ELM AILaw 86 27 0 14 Sep 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction Jiacheng Zhu Jielin Qiu Zhuolin Yang Douglas Weber M. Rosenberg Emerson Liu Bo-wen Li Ding Zhao OOD 28 13 0 02 Aug 2022
Transformers are Adaptable Task Planners Vidhi Jain Yixin Lin Eric Undersander Yonatan Bisk Akshara Rai 22 24 0 06 Jul 2022
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,918 0 31 Dec 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 334 1,951 0 04 May 2020
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 193 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017