User-Interactive Offline Reinforcement Learning

User-Interactive Offline Reinforcement Learning

21 May 2022

Phillip Swazinna

Papers citing "User-Interactive Offline Reinforcement Learning"

10 / 10 papers shown

Title
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning Batıkan Bora Ormancı Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 66 0 0 28 Jan 2025
Preference-Optimized Pareto Set Learning for Blackbox Optimization Zhang Haishan Diptesh Das Koji Tsuda 24 1 0 19 Aug 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics Xinyu Zhang Wenjie Qiu Yi-Chen Li Lei Yuan Chengxing Jia Zongzhang Zhang Yang Yu OffRL 20 1 0 17 Feb 2024
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning Shenzhi Wang Qisen Yang Jiawei Gao Matthieu Lin Hao Chen Liwei Wu Ning Jia Shiji Song Gao Huang OffRL 16 12 0 27 Oct 2023
Learning Control Policies for Variable Objectives from Offline Data Marc Weber Phillip Swazinna D. Hein Steffen Udluft V. Sterzing OffRL 8 8 0 11 Aug 2023
Automatic Trade-off Adaptation in Offline RL Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 11 0 0 16 Jun 2023
Value function estimation using conditional diffusion models for control Bogdan Mazoure Walter A. Talbott Miguel Angel Bautista R. Devon Hjelm Alexander Toshev J. Susskind DiffM 12 4 0 09 Jun 2023
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 832 0 12 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 212 413 0 16 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 207 119 0 21 Jul 2020