Overcoming Model Bias for Robust Offline Deep Reinforcement Learning

Overcoming Model Bias for Robust Offline Deep Reinforcement Learning

12 August 2020

Phillip Swazinna

Papers citing "Overcoming Model Bias for Robust Offline Deep Reinforcement Learning"

10 / 10 papers shown

Title
DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition Yuki Kadokawa Jonas Frey Takahiro Miki Takamitsu Matsubara Marco Hutter 33 0 0 09 May 2025
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Shenghong He OffRL 171 0 0 10 Feb 2025
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning Rafael Rafailov Kyle Hatch Victor Kolev John D. Martin Mariano Phielipp Chelsea Finn OffRL OnRL 22 9 0 06 Jan 2024
Automatic Trade-off Adaptation in Offline RL Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 37 0 0 16 Jun 2023
User-Interactive Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 25 11 0 21 May 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 13 2 0 22 Mar 2022
RvS: What is Essential for Offline RL via Supervised Learning? Scott Emmons Benjamin Eysenbach Ilya Kostrikov Sergey Levine OffRL 31 170 0 20 Dec 2021
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 25 6 0 26 Nov 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 Sep 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021