Action-Quantized Offline Reinforcement Learning for Robotic Skill
Learning

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning

18 October 2023

Papers citing "Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning"

19 / 19 papers shown

Title
DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward Yi Zhang Ruihong Qiu Xuwei Xu Jiajun Liu Sen Wang OffRL 14 0 0 12 May 2025
Offline Reinforcement Learning with Discrete Diffusion Skills Ruixi Qiao Jie Cheng Xingyuan Dai Yonglin Tian Yisheng Lv OffRL 72 0 0 26 Mar 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning Rishav Rishav Somjit Nath Vincent Michalski Samira Ebrahimi Kahou FAtt OffRL 60 0 0 19 Mar 2025
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction Baiting Luo Ava Pettet Aron Laszka A. Dubey Ayan Mukhopadhyay OffRL 33 1 0 28 Feb 2025
Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation Ke Zhao Huayang Huang Miao Li Yu Wu AAML 71 0 0 21 Nov 2024
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces Alex Beeson David Ireland Giovanni Montana OffRL 32 0 0 17 Nov 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control Atharva Mete Haotian Xue Albert Wilcox Yongxin Chen Animesh Garg SSL 21 15 0 22 Jul 2024
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms Weiqin Chen M. Squillante Chai Wah Wu Santiago Paternain AI4CE 19 0 0 20 Jun 2024
Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion Zhitian Zhang Anjian Li Angelica Lim Mo Chen 25 1 0 29 May 2024
RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents Zeren Chen Zhelun Shi Xiaoya Lu Lehan He Sucheng Qian ... Zhen-fei Yin Jing Shao Jing Shao Cewu Lu Cewu Lu 31 5 0 28 Mar 2024
Behavior Generation with Latent Actions Seungjae Lee Yibin Wang Haritheja Etukuru H. J. Kim Mahi Shafiullah Lerrel Pinto VGen OffRL 22 63 0 05 Mar 2024
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control Ruijie Zheng Ching-An Cheng Hal Daumé Furong Huang Andrey Kolobov 19 9 0 16 Feb 2024
H-GAP: Humanoid Control with a Generalist Planner Zhengyao Jiang Yingchen Xu Nolan Wagener Yicheng Luo Michael Janner Edward Grefenstette Tim Rocktaschel Yuandong Tian AI4CE 11 5 0 05 Dec 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions Yevgen Chebotar Q. Vuong A. Irpan Karol Hausman F. Xia ... Brianna Zitkovich Tomas Jackson Kanishka Rao Chelsea Finn Sergey Levine OffRL 115 81 0 18 Sep 2023
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 27 22 0 22 Oct 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 206 832 0 12 Oct 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 139 461 0 06 Aug 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 194 412 0 16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,944 0 04 May 2020