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2204.02372
Cited By
Jump-Start Reinforcement Learning
5 April 2022
Ikechukwu Uchendu
Ted Xiao
Yao Lu
Banghua Zhu
Mengyuan Yan
J. Simón
Matthew Bennice
Chuyuan Fu
Cong Ma
Jiantao Jiao
Sergey Levine
Karol Hausman
OffRL
OnRL
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Papers citing
"Jump-Start Reinforcement Learning"
50 / 67 papers shown
Title
Fine-Tuning without Performance Degradation
Han Wang
Adam White
Martha White
OnRL
110
0
0
01 May 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
Zhuoren Li
Guizhe Jin
Ran Yu
Z. Chen
Nan I. Li
...
Lu Xiong
Bo Leng
Jia Hu
I. Kolmanovsky
Dimitar Filev
49
0
0
31 Mar 2025
Dexterous Hand Manipulation via Efficient Imitation-Bootstrapped Online Reinforcement Learning
Dongchi Huang
Tianle Zhang
Yihang Li
Ling Zhao
Jiayi Li
Zhirui Fang
Chunhe Xia
Lusong Li
Xiaodong He
OffRL
43
0
0
06 Mar 2025
A2Perf: Real-World Autonomous Agents Benchmark
Ikechukwu Uchendu
Jason J. Jabbour
Korneel Van den Berghe
Joel Runevic
Matthew P. Stewart
...
S. Guadarrama
Jie Tan
Jordan K. Terry
Aleksandra Faust
Vijay Janapa Reddi
32
0
0
04 Mar 2025
Generalist World Model Pre-Training for Efficient Reinforcement Learning
Yi Zhao
Aidan Scannell
Yuxin Hou
Tianyu Cui
Le Chen
Dieter Buchler
Arno Solin
Juho Kannala
J. Pajarinen
OffRL
OnRL
75
1
0
26 Feb 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRL
OnRL
79
0
0
31 Dec 2024
Attention-Enhanced Short-Time Wiener Solution for Acoustic Echo Cancellation
Fei Zhao
Xueliang Zhang
29
0
0
25 Dec 2024
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
Xiu Yuan
Tongzhou Mu
Stone Tao
Yunhao Fang
Mengke Zhang
H. Su
OffRL
66
0
0
18 Dec 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
Kai Yan
A. Schwing
Yu-xiong Wang
OffRL
OnRL
36
0
0
31 Oct 2024
Stepping Out of the Shadows: Reinforcement Learning in Shadow Mode
Philipp Gassert
Matthias Althoff
31
0
0
30 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
57
0
0
23 Oct 2024
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
Jiaheng Hu
Rose Hendrix
Ali Farhadi
Aniruddha Kembhavi
Roberto Martin-Martin
Peter Stone
Kuo-Hao Zeng
Kiana Ehsani
31
7
0
25 Sep 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
Renming Huang
Shaochong Liu
Yunqiang Pei
Peng Wang
Guoqing Wang
Yang Yang
Hengtao Shen
OffRL
27
0
0
06 Sep 2024
Whole-Body Control Through Narrow Gaps From Pixels To Action
Tianyue Wu
Yeke Chen
Tianyang Chen
Guangyu Zhao
Fei Gao
46
4
0
02 Sep 2024
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning
Yuxuan Jiang
Yujie Yang
Zhiqian Lan
Guojian Zhan
Shengbo Eben Li
Qi Sun
Jian Ma
Tianwen Yu
Changwu Zhang
23
1
0
21 Jul 2024
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents
Haoyuan Jiang
Xuantang Xiong
Ziyue Li
Hangyu Mao
Guanghu Sui
Jingqing Ruan
Yuheng Cheng
Hua Wei
Wolf Ketter
Rui Zhao
18
4
0
15 Jul 2024
A Benchmark Environment for Offline Reinforcement Learning in Racing Games
Girolamo Macaluso
Alessandro Sestini
Andrew D. Bagdanov
OffRL
14
0
0
12 Jul 2024
Residual-MPPI: Online Policy Customization for Continuous Control
Pengcheng Wang
Chenran Li
Catherine Weaver
Kenta Kawamoto
M. Tomizuka
Chen Tang
Wei Zhan
OffRL
29
3
0
01 Jul 2024
Planning Using Schrödinger Bridge Diffusion Models
Adarsh Srivastava
OffRL
DiffM
16
0
0
18 Jun 2024
Hybrid Reinforcement Learning from Offline Observation Alone
Yuda Song
J. Andrew Bagnell
Aarti Singh
OffRL
74
2
0
11 Jun 2024
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays
Bo Xia
Yilun Kong
Yongzhe Chang
Bo Yuan
Zhiheng Li
Xueqian Wang
Bin Liang
OffRL
35
3
0
05 Jun 2024
Multi-Agent Transfer Learning via Temporal Contrastive Learning
Weihao Zeng
Joseph Campbell
Simon Stepputtis
Katia P. Sycara
OffRL
41
2
0
03 Jun 2024
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
Yuwei Fu
Haichao Zhang
Di Wu
Wei-ping Xu
Benoit Boulet
VLM
24
12
0
02 Jun 2024
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
Yu-Juan Luo
Tianying Ji
Fuchun Sun
Jianwei Zhang
Huazhe Xu
Xianyuan Zhan
OffRL
OnRL
29
2
0
28 May 2024
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
Changhong Wang
Xudong Yu
Chenjia Bai
Qiaosheng Zhang
Zhen Wang
38
1
0
12 May 2024
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning
M. Chahoud
Hani Sami
Azzam Mourad
Hadi Otrok
Jamal Bentahar
Mohsen Guizani
24
0
0
12 May 2024
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
Stone Tao
Arth Shukla
Tse-kai Chan
Hao Su
OffRL
23
4
0
06 May 2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
Zelei Cheng
Xian Wu
Jiahao Yu
Sabrina Yang
Gang Wang
Xinyu Xing
OffRL
21
2
0
05 May 2024
Distilling Privileged Information for Dubins Traveling Salesman Problems with Neighborhoods
M. Shin
Su-Jeong Park
Seung-Keol Ryu
Heeyeon Kim
Han-Lim Choi
46
0
0
25 Apr 2024
Dataset Reset Policy Optimization for RLHF
Jonathan D. Chang
Wenhao Zhan
Owen Oertell
Kianté Brantley
Dipendra Kumar Misra
Jason D. Lee
Wen Sun
OffRL
22
21
0
12 Apr 2024
Demonstration Guided Multi-Objective Reinforcement Learning
Junlin Lu
Patrick Mannion
Karl Mason
22
0
0
05 Apr 2024
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency
Yanxiao Zhao
Yangge Qian
Tianyi Wang
Jingyang Shan
Xiaolin Qin
16
0
0
01 Mar 2024
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
Jie Cheng
Gang Xiong
Xingyuan Dai
Q. Miao
Yisheng Lv
Fei-Yue Wang
31
15
0
27 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides
Paul Daoudi
Bogdan Robu
Christophe Prieur
Ludovic Dos Santos
M. Barlier
OnRL
19
3
0
21 Feb 2024
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
Jan-Philipp von Bassewitz
Sebastian Kaltenbach
P. Koumoutsakos
AI4CE
30
1
0
01 Feb 2024
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
Zihao Zhou
Bin-Bin Hu
Chenyang Zhao
Pu Zhang
Bin Liu
LLMAG
25
8
0
22 Nov 2023
Accelerating Exploration with Unlabeled Prior Data
Qiyang Li
Jason Zhang
Dibya Ghosh
Amy Zhang
Sergey Levine
OffRL
OnRL
16
9
0
09 Nov 2023
Learning Realistic Traffic Agents in Closed-loop
Chris Zhang
James Tu
Lunjun Zhang
Kelvin Wong
Simon Suo
R. Urtasun
29
18
0
02 Nov 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model
Seungjae Lee
Daesol Cho
Jonghae Park
H. J. Kim
19
6
0
26 Oct 2023
PolyTask: Learning Unified Policies through Behavior Distillation
Siddhant Haldar
Lerrel Pinto
21
7
0
12 Oct 2023
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Jakob Thumm
Felix Trost
Matthias Althoff
OffRL
20
6
0
09 Oct 2023
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li
Xinyi Liu
Banghua Zhu
Jiantao Jiao
M. Tomizuka
Chen Tang
Wei Zhan
OffRL
OnRL
61
9
0
18 Sep 2023
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning
Jingqing Ruan
Xiaotian Hao
D. Li
Hangyu Mao
8
5
0
28 Jul 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
Hang Wang
Sen Lin
Junshan Zhang
OffRL
OnRL
10
3
0
20 Jun 2023
Residual Q-Learning: Offline and Online Policy Customization without Value
Chenran Li
Chen Tang
Haruki Nishimura
Jean-Pierre Mercat
M. Tomizuka
Wei Zhan
OffRL
25
6
0
15 Jun 2023
On the Value of Myopic Behavior in Policy Reuse
Kang Xu
Chenjia Bai
Shuang Qiu
Haoran He
Bin Zhao
Zhen Wang
Wei Li
Xuelong Li
19
1
0
28 May 2023
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning
Jianxiong Li
Xiao Hu
Haoran Xu
Jingjing Liu
Xianyuan Zhan
Ya-Qin Zhang
OffRL
OnRL
27
19
0
25 May 2023
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
P. Emedom-Nnamdi
A. Friesen
Bobak Shahriari
Nando de Freitas
Matthew W. Hoffman
OffRL
10
0
0
05 May 2023
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning
Claude Formanek
C. Tilbury
Jonathan P. Shock
Kale-ab Tessera
Arnu Pretorius
17
3
0
31 Mar 2023
Inverse Reinforcement Learning without Reinforcement Learning
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
16
33
0
26 Mar 2023
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