Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts

20 July 2024

Papers citing "Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts"

8 / 8 papers shown

Title
PAVE: Patching and Adapting Video Large Language Models Zhuoming Liu Yiquan Li Khoi Duc Nguyen Yiwu Zhong Yin Li KELM LRM 79 0 0 25 Mar 2025
PANDORA: Diffusion Policy Learning for Dexterous Robotic Piano Playing Yanjia Huang Renjie Li Zhengzhong Tu VGen 45 0 0 17 Mar 2025
Vision-Language Models as Success Detectors Yuqing Du Ksenia Konyushkova Misha Denil A. Raju Jessica Landon Felix Hill Nando de Freitas Serkan Cabi MLLM LRM 82 76 0 13 Mar 2023
Open-World Object Manipulation using Pre-trained Vision-Language Models Austin Stone Ted Xiao Yao Lu K. Gopalakrishnan Kuang-Huei Lee ... Sean Kirmani Brianna Zitkovich F. Xia Chelsea Finn Karol Hausman LM&Ro 139 144 0 02 Mar 2023
Real-World Robot Learning with Masked Visual Pre-training Ilija Radosavovic Tete Xiao Stephen James Pieter Abbeel Jitendra Malik Trevor Darrell SSL 141 238 0 06 Oct 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 380 4,010 0 28 Jan 2022
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval Huaishao Luo Lei Ji Ming Zhong Yang Chen Wen Lei Nan Duan Tianrui Li CLIP VLM 298 771 0 18 Apr 2021
Model-Based Inverse Reinforcement Learning from Visual Demonstrations Neha Das Sarah Bechtle Todor Davchev Dinesh Jayaraman Akshara Rai Franziska Meier 106 64 0 18 Oct 2020