OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning

26 October 2020

Papers citing "OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning"

41 / 41 papers shown

Title
Latent Adaptive Planner for Dynamic Manipulation Donghun Noh Deqian Kong Minglu Zhao Andrew Lizarraga Jianwen Xie Ying Nian Wu Dennis W. Hong 122 0 0 06 May 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning Rishav Rishav Somjit Nath Vincent Michalski Samira Ebrahimi Kahou FAtt OffRL 70 0 0 19 Mar 2025
DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning Zhenyu Jiang Yuqi Xie K. Lin Zhenjia Xu Weikang Wan Ajay Mandlekar Linxi Fan Yuke Zhu 53 24 0 31 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 57 0 0 23 Oct 2024
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation Jaehyun Park Yunho Kim Sejin Kim Byung-Jun Lee Sundong Kim OffRL 30 1 0 15 Oct 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control Atharva Mete Haotian Xue Albert Wilcox Yongxin Chen Animesh Garg SSL 35 16 0 22 Jul 2024
Variational Offline Multi-agent Skill Discovery Jiayu Chen Bhargav Ganguly Tian-Shing Lan OffRL 63 1 0 26 May 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 39 0 0 08 Sep 2023
Skill Transformer: A Monolithic Policy for Mobile Manipulation Xiaoyu Huang Dhruv Batra Akshara Rai Andrew Szot LM&Ro 33 21 0 19 Aug 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling Jesse Zhang Karl Pertsch Jiahui Zhang Joseph J. Lim LM&Ro 36 17 0 20 Jun 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 28 24 0 29 May 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 24 1 0 28 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 24 20 0 26 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 28 39 0 22 May 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 31 3 0 07 Apr 2023
Cross-Domain Transfer via Semantic Skill Imitation Karl Pertsch Ruta Desai Vikash Kumar Franziska Meier Joseph J. Lim Dhruv Batra Akshara Rai LM&Ro 8 18 0 14 Dec 2022
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 47 360 0 28 Nov 2022
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration Giulia Vezzani Dhruva Tirumala Markus Wulfmeier Dushyant Rao A. Abdolmaleki ... Tim Hertweck Thomas Lampe Fereshteh Sadeghi N. Heess Martin Riedmiller OffRL 28 6 0 24 Nov 2022
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning Yi Zhao Rinu Boney Alexander Ilin Juho Kannala J. Pajarinen OffRL OnRL 24 39 0 25 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 51 37 0 23 Oct 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas Oier Mees Gabriel Kalweit Joschka Boedecker Wolfram Burgard OffRL 28 81 0 19 Sep 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Learning Dynamic Manipulation Skills from Haptic-Play Taeyoon Lee D. Sung Kyoung-Whan Choi Choong-Keun Lee Changwoo Park Keunjun Choi 28 3 0 28 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar Vaibhav Mathur Denis Yarats Lerrel Pinto 46 62 0 30 Jun 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 34 59 0 21 Jun 2022
Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies Yu Wang Fang Liu 16 0 0 23 May 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 30 29 0 22 May 2022
User-Interactive Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 25 11 0 21 May 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 24 16 0 25 Mar 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 26 132 0 23 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 19 7 0 10 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison G. Loaiza-Ganem BDL OffRL 16 8 0 09 Feb 2022
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 22 6 0 26 Nov 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 27 90 0 28 Oct 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 35 42 0 27 Oct 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 26 40 0 20 Oct 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 22 32 0 27 Jun 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 24 104 0 10 Mar 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 209 119 0 21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020