Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning

31 January 2022

David Brandfonbrener

Pieter Abbeel

Papers citing "Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning"

20 / 20 papers shown

Title
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 19 0 0 02 May 2025
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning Wesley A. Suttle A. Suresh Carlos Nieto-Granda OffRL 95 0 0 06 Feb 2025
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Donghu Kim Jaegul Choo 37 1 0 01 Jun 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning Junghyuk Yeom Yonghyeon Jo Jungmo Kim Sanghyeon Lee Seungyul Han OffRL 40 2 0 23 May 2024
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 26 1 0 12 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 32 0 0 26 Sep 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 36 12 0 26 Apr 2023
Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions Lina Mezghani Piotr Bojanowski Alahari Karteek Sainbayar Sukhbaatar LM&Ro OffRL LRM 13 8 0 18 Apr 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play Irmak Güzey Ben Evans Soumith Chintala Lerrel Pinto 59 64 0 21 Mar 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 34 18 0 05 Jan 2023
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 26 21 0 23 Nov 2022
Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu Hao Liu Aditya Grover Pieter Abbeel OffRL 37 45 0 23 Nov 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 53 8 0 23 Oct 2022
Boosting Offline Reinforcement Learning via Data Rebalancing Yang Yue Bingyi Kang Xiao Ma Zhongwen Xu Gao Huang Shuicheng Yan OffRL 18 22 0 17 Oct 2022
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation Sridhar Pandian Arunachalam Sneha Silwal Ben Evans Lerrel Pinto 31 101 0 24 Mar 2022
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning Giorgio Angelotti Nicolas Drougard Caroline Ponzoni Carvalho Chanel OffRL 26 2 0 18 Dec 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 138 84 0 22 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 104 194 0 07 Feb 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,950 0 20 Apr 2018