When Should We Prefer Offline Reinforcement Learning Over Behavioral
Cloning?

When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?

12 April 2022

Papers citing "When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?"

19 / 19 papers shown

Title
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making Jake Grigsby Yuke Zhu Michael S Ryoo Juan Carlos Niebles OffRL VLM 36 0 0 06 May 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Emiliano Penaloza Tianyue H. Zhan Laurent Charlin Mateo Espinosa Zarlenga 40 0 0 25 Apr 2025
Offline Learning of Controllable Diverse Behaviors Mathieu Petitbois Rémy Portelas Sylvain Lamprier Ludovic Denoyer OffRL 34 0 0 25 Apr 2025
Yes, Q-learning Helps Offline In-Context RL Denis Tarasov Alexander Nikulin Ilya Zisman Albina Klepach Andrei Polubarov Nikita Lyubaykin Alexander Derevyagin Igor Kiselev Vladislav Kurenkov OffRL OnRL 124 0 0 24 Feb 2025
The State of Robot Motion Generation Kostas E. Bekris Joe Doerr Patrick Meng Sumanth Tangirala 3DV 34 2 0 16 Oct 2024
Predictive Coding for Decision Transformer T. Luu Donghoon Lee Chang D. Yoo OffRL 51 1 0 04 Oct 2024
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling Jesse van Remmerden Z. Bukhsh Yingqian Zhang OffRL OnRL 39 1 0 16 Sep 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
DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning Sabariswaran Mani Sreyas Venkataraman Abhranil Chandra Adyan Rizvi Yash Sirvi Soumojit Bhattacharya Aritra Hazra OffRL 26 1 0 17 Jan 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 34 10 0 05 Sep 2023
C-MCTS: Safe Planning with Monte Carlo Tree Search Dinesh Parthasarathy G. Kontes Axel Plinge Christopher Mutschler 32 3 0 25 May 2023
Optimality Principles in Spacecraft Neural Guidance and Control Dario Izzo E. Blazquez Robin Ferede Sebastien Origer C. De Wagter Guido de Croon 9 8 0 22 May 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization Haoran Xu Li Jiang Jianxiong Li Zhuoran Yang Zhaoran Wang Victor Chan Xianyuan Zhan OffRL 28 71 0 28 Mar 2023
Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future Improvement Batu Kaan Oezen 11 0 0 20 Jan 2023
No RL, No Simulation: Learning to Navigate without Navigating Meera Hahn Devendra Singh Chaplot Shubham Tulsiani Mustafa Mukadam James M. Rehg Abhinav Gupta 73 71 0 18 Oct 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
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 147 471 0 06 Aug 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 214 413 0 16 Feb 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