ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.06127
  4. Cited By
Learning Control Policies for Variable Objectives from Offline Data

Learning Control Policies for Variable Objectives from Offline Data

11 August 2023
Marc Weber
Phillip Swazinna
D. Hein
Steffen Udluft
V. Sterzing
    OffRL
ArXivPDFHTML

Papers citing "Learning Control Policies for Variable Objectives from Offline Data"

6 / 6 papers shown
Title
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
Giseung Park
Y. Sung
OffRL
44
0
0
28 Feb 2025
Why long model-based rollouts are no reason for bad Q-value estimates
Why long model-based rollouts are no reason for bad Q-value estimates
Philipp Wissmann
Daniel Hein
Steffen Udluft
Volker Tresp
OffRL
LRM
18
1
0
16 Jul 2024
User-Interactive Offline Reinforcement Learning
User-Interactive Offline Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
25
11
0
21 May 2022
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
219
415
0
16 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
137
6
0
01 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
1