Diffusion Meets Options: Hierarchical Generative Skill Composition for
Temporally-Extended Tasks

Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks

3 October 2024

Kevin Yuchen Ma

Harold Soh

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Papers citing "Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks"

13 / 13 papers shown

Title
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning Zeyu Feng Hao Luan Pranav Goyal Harold Soh 113 7 0 07 May 2024
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation Xiao Ma Sumit Patidar Iain Haughton Stephen James 103 57 0 06 Mar 2024
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Cheng Chi Zhenjia Xu S. Feng Eric A. Cousineau Yilun Du Benjamin Burchfiel Russ Tedrake Shuran Song 349 1,243 0 07 Mar 2023
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 114 862 0 29 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,971 0 26 Jul 2022
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 123 77 0 13 Feb 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 776 18,408 0 19 Jun 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 239 1,384 0 15 Apr 2020
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 93 29 0 25 Mar 2019
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 200 5,226 0 26 Feb 2018
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 194 4,844 0 17 Mar 2017
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 274 1,140 0 25 Jul 2012