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. 2111.03788
  4. Cited By
d3rlpy: An Offline Deep Reinforcement Learning Library

d3rlpy: An Offline Deep Reinforcement Learning Library

6 November 2021
Takuma Seno
M. Imai
    OffRL
    GP
ArXivPDFHTML

Papers citing "d3rlpy: An Offline Deep Reinforcement Learning Library"

18 / 18 papers shown
Title
BiasBench: A reproducible benchmark for tuning the biases of event cameras
BiasBench: A reproducible benchmark for tuning the biases of event cameras
Andreas Ziegler
David Joseph
Thomas Gossard
Emil Moldovan
A. Zell
19
0
0
25 Apr 2025
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
Stavros Orfanoudakis
Nanda Kishor Panda
Peter Palensky
Pedro P. Vergara
AI4CE
55
0
0
03 Feb 2025
Methodology for Interpretable Reinforcement Learning for Optimizing Mechanical Ventilation
Methodology for Interpretable Reinforcement Learning for Optimizing Mechanical Ventilation
Joo Seung Lee
Malini Mahendra
Anil Aswani
OffRL
45
1
0
10 Jan 2025
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
Xuanfa Jin
Ziyan Wang
Yali Du
Meng Fang
Haifeng Zhang
Jun Wang
OffRL
LLMAG
38
5
0
30 May 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRL
OnRL
34
39
0
29 Jan 2024
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Wenzhang Liu
Wenzhe Cai
Kun Jiang
Guangran Cheng
Yuanda Wang
Jiawei Wang
Jingyu Cao
Lele Xu
Chaoxu Mu
Changyin Sun
18
4
0
25 Dec 2023
ToP-ToM: Trust-aware Robot Policy with Theory of Mind
ToP-ToM: Trust-aware Robot Policy with Theory of Mind
Chuang Yu
Baris Serhan
Angelo Cangelosi
14
2
0
07 Nov 2023
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline
  Data in the Real World
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
Nicolas Gurtler
Felix Widmaier
Cansu Sancaktar
Sebastian Blaes
Pavel Kolev
...
Arman Raayatsanati
Hehui Zheng
Barnabas Gavin Cangan
Bernhard Schölkopf
Georg Martius
OffRL
12
2
0
15 Aug 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Nico Gürtler
Sebastian Blaes
Pavel Kolev
Felix Widmaier
Manuel Wüthrich
Stefan Bauer
Bernhard Schölkopf
Georg Martius
OffRL
13
28
0
28 Jul 2023
Train Offline, Test Online: A Real Robot Learning Benchmark
Train Offline, Test Online: A Real Robot Learning Benchmark
G. Zhou
Victoria Dean
M. K. Srirama
Aravind Rajeswaran
Jyothish Pari
...
Tianhe Yu
Pieter Abbeel
Lerrel Pinto
Chelsea Finn
Abhi Gupta
OffRL
28
38
0
01 Jun 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value
  Regularization
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
16
71
0
28 Mar 2023
Domain Generalization for Robust Model-Based Offline Reinforcement
  Learning
Domain Generalization for Robust Model-Based Offline Reinforcement Learning
Alan Clark
Shoaib Ahmed Siddiqui
Robert Kirk
Usman Anwar
Stephen Chung
David M. Krueger
OOD
OffRL
13
0
0
27 Nov 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets
Chen Gong
Zhou Yang
Yunru Bai
Junda He
Jieke Shi
...
Arunesh Sinha
Bowen Xu
Xinwen Hou
David Lo
Guoliang Fan
AAML
OffRL
8
7
0
07 Oct 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on
  Exploration and Performance
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
Jakob J. Hollenstein
Sayantan Auddy
Matteo Saveriano
Erwan Renaudo
J. Piater
18
17
0
08 Jun 2022
SaLinA: Sequential Learning of Agents
SaLinA: Sequential Learning of Agents
Ludovic Denoyer
Alfredo De la Fuente
S. Duong
Jean-Baptiste Gaya
Pierre-Alexandre Kamienny
Daniel H. Thompson
26
11
0
15 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
203
627
0
12 Oct 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
321
1,662
0
04 May 2020
Soft Actor-Critic for Discrete Action Settings
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
OffRL
101
292
0
16 Oct 2019
1