Coarse-to-fine Q-attention with Tree Expansion

Coarse-to-fine Q-attention with Tree Expansion

26 April 2022

Pieter Abbeel

Papers citing "Coarse-to-fine Q-attention with Tree Expansion"

9 / 9 papers shown

Title
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark Nikita Chernyadev Nicholas Backshall Xiao Ma Yunfan Lu Younggyo Seo Stephen James 22 11 0 10 Jul 2024
PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation Tasks Markus Grotz Mohit Shridhar Tamim Asfour Dieter Fox 31 10 0 29 Jun 2024
Redundancy-aware Action Spaces for Robot Learning Pietro Mazzaglia Nicholas Backshall Xiao Ma Stephen James 37 2 0 06 Jun 2024
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation Xiao Ma Sumit Patidar Iain Haughton Stephen James 43 49 0 06 Mar 2024
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets Maximilian Du Suraj Nair Dorsa Sadigh Chelsea Finn OffRL 24 32 0 18 Apr 2023
Multi-View Masked World Models for Visual Robotic Manipulation Younggyo Seo Junsup Kim Stephen James Kimin Lee Jinwoo Shin Pieter Abbeel VGen 25 55 0 05 Feb 2023
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 93 146 0 28 Jun 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning Mandi Zhao Pieter Abbeel Stephen James OffRL 28 33 0 07 Jun 2022
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search Fan Bai Fei Meng Jianbang Liu Jiankun Wang Max Q.-H. Meng 21 6 0 18 Sep 2021