Learning to Modulate pre-trained Models in RL

Learning to Modulate pre-trained Models in RL

26 June 2023

Fabian Paischer

Sepp Hochreiter

Papers citing "Learning to Modulate pre-trained Models in RL"

18 / 18 papers shown

Title
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 196 0 0 21 Apr 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 75 5 0 21 Feb 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu Junjie Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 61 4 0 09 Feb 2025
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation Daehee Lee Minjong Yoo Woo Kyung Kim Wonje Choi Honguk Woo CLL 96 5 0 30 Oct 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement Zhi Wang Li Zhang Wenhao Wu Yuanheng Zhu Dongbin Zhao C. L. Philip Chen OffRL 43 6 0 15 Oct 2024
Parameter Efficient Fine-tuning via Explained Variance Adaptation Fabian Paischer Lukas Hauzenberger Thomas Schmied Benedikt Alkin Marc Peter Deisenroth Sepp Hochreiter 42 4 0 09 Oct 2024
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces Tianyu Zheng Ge Zhang Xingwei Qu Ming Kuang Stephen W. Huang Zhaofeng He OffRL 53 1 0 20 Feb 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 59 124 0 17 Jan 2024
Foundation Models for Decision Making: Problems, Methods, and Opportunities Sherry Yang Ofir Nachum Yilun Du Jason W. Wei Pieter Abbeel Dale Schuurmans LM&Ro OffRL LRM AI4CE 98 156 0 07 Mar 2023
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 81 27 0 28 Sep 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation Mohit Shridhar Lucas Manuelli Dieter Fox LM&Ro 166 465 0 12 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,481 0 11 Nov 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp Günter Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 207 102 0 21 Oct 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 814 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,872 0 18 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,805 0 24 Feb 2021
Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich Bernhard Schafl Hubert Ramsauer Milena Pavlović Lukas Gruber ... Johannes Brandstetter G. K. Sandve Victor Greiff Sepp Hochreiter Günter Klambauer 193 117 0 16 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 343 1,963 0 04 May 2020