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Provably Efficient Multi-Task Reinforcement Learning with Model Transfer

Provably Efficient Multi-Task Reinforcement Learning with Model Transfer

19 July 2021
Chicheng Zhang
Zhi Wang
    OffRL
ArXivPDFHTML

Papers citing "Provably Efficient Multi-Task Reinforcement Learning with Model Transfer"

15 / 15 papers shown
Title
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data
Rui Miao
Babak Shahbaba
Annie Qu
OffRL
31
0
0
14 May 2025
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process
Rui Lu
Yang Yue
Andrew Zhao
S. Du
Gao Huang
OffRL
57
1
0
01 Mar 2025
Sample Efficient Myopic Exploration Through Multitask Reinforcement
  Learning with Diverse Tasks
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu
Zifan Xu
Runxuan Jiang
Peter Stone
Ambuj Tewari
48
1
0
03 Mar 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
59
124
0
17 Jan 2024
Provable Benefits of Multi-task RL under Non-Markovian Decision Making
  Processes
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang
Yuan Cheng
Jing Yang
Vincent Tan
Yingbin Liang
30
0
0
20 Oct 2023
Scaling Distributed Multi-task Reinforcement Learning with Experience
  Sharing
Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing
Sanae Amani
Khushbu Pahwa
samani
Lin F. Yang
LRM
21
0
0
11 Jul 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data
  Sources
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
Chengshuai Shi
Wei Xiong
Cong Shen
Jing Yang
OffRL
30
3
0
14 Jun 2023
Robust Knowledge Transfer in Tiered Reinforcement Learning
Robust Knowledge Transfer in Tiered Reinforcement Learning
Jiawei Huang
Niao He
OffRL
32
1
0
10 Feb 2023
Multi-task Representation Learning for Pure Exploration in Linear
  Bandits
Multi-task Representation Learning for Pure Exploration in Linear Bandits
Yihan Du
Longbo Huang
Wen Sun
25
4
0
09 Feb 2023
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
Grace Zhang
Ayush Jain
Injune Hwang
Shao-Hua Sun
Joseph J. Lim
35
4
0
01 Feb 2023
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent
  Markov Decision Processes
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
Runlong Zhou
Ruosong Wang
S. Du
31
3
0
20 Oct 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits
  and Hardness
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
Haotian Ye
Xiaoyu Chen
Liwei Wang
S. Du
OffRL
37
6
0
19 Oct 2022
Thompson Sampling for Robust Transfer in Multi-Task Bandits
Thompson Sampling for Robust Transfer in Multi-Task Bandits
Zhi Wang
Chicheng Zhang
Kamalika Chaudhuri
AAML
45
5
0
17 Jun 2022
Provably Efficient Lifelong Reinforcement Learning with Linear Function
  Approximation
Provably Efficient Lifelong Reinforcement Learning with Linear Function Approximation
Sanae Amani
Lin F. Yang
Ching-An Cheng
OffRL
29
1
0
01 Jun 2022
Can Q-Learning be Improved with Advice?
Can Q-Learning be Improved with Advice?
Noah Golowich
Ankur Moitra
OffRL
19
12
0
25 Oct 2021
1