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1309.6821
Cited By
Sample Complexity of Multi-task Reinforcement Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2013
26 September 2013
Emma Brunskill
Lihong Li
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Papers citing
"Sample Complexity of Multi-task Reinforcement Learning"
50 / 73 papers shown
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Yilun Zhou
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599
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19 May 2025
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
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Adam Wierman
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06 Nov 2024
LIMT: Language-Informed Multi-Task Visual World Models
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Nikolaos Sotirakis
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386
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18 Jul 2024
Three Dogmas of Reinforcement Learning
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Mark K. Ho
Anna Harutyunyan
415
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15 Jul 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
Jeongyeol Kwon
Shie Mannor
Constantine Caramanis
Yonathan Efroni
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431
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0
03 Jun 2024
Statistical Context Detection for Deep Lifelong Reinforcement Learning
Jeffery Dick
Saptarshi Nath
Christos Peridis
Eseoghene Ben-Iwhiwhu
Soheil Kolouri
Andrea Soltoggio
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270
4
0
29 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
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346
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18 May 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
Ruitao Chen
Liwei Wang
349
1
0
18 May 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
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Zifan Xu
Runxuan Jiang
Peter Stone
Ambuj Tewari
367
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0
03 Mar 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
380
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0
17 Jan 2024
Social Contract AI: Aligning AI Assistants with Implicit Group Norms
Jan-Philipp Fränken
Sam Kwok
Peixuan Ye
Kanishk Gandhi
Dilip Arumugam
Jared Moore
Alex Tamkin
Tobias Gerstenberg
Noah D. Goodman
344
9
0
26 Oct 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang
Yuan Cheng
Jing Yang
Vincent Tan
Yingbin Liang
253
0
0
20 Oct 2023
Prospective Side Information for Latent MDPs
International Conference on Machine Learning (ICML), 2023
Jeongyeol Kwon
Yonathan Efroni
Shie Mannor
Constantine Caramanis
369
7
0
11 Oct 2023
Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing
Sanae Amani
Khushbu Pahwa
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214
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0
11 Jul 2023
Addressing computational challenges in physical system simulations with machine learning
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M. Uddin
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244
2
0
16 May 2023
Bayesian Reinforcement Learning with Limited Cognitive Load
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Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
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244
16
0
05 May 2023
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning
Neural Information Processing Systems (NeurIPS), 2023
Dingwen Kong
Lin F. Yang
269
16
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18 Apr 2023
Robust Knowledge Transfer in Tiered Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Jiawei Huang
Niao He
OffRL
422
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10 Feb 2023
Adversarial Online Multi-Task Reinforcement Learning
International Conference on Algorithmic Learning Theory (ALT), 2023
Quan Nguyen
Nishant A. Mehta
197
1
0
11 Jan 2023
Learning Mixtures of Markov Chains and MDPs
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Kevin Tan
Ambuj Tewari
312
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17 Nov 2022
Curriculum-based Asymmetric Multi-task Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
H. Huang
Deheng Ye
Li Shen
Wen Liu
257
21
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07 Nov 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Mengdi Xu
Peide Huang
Yaru Niu
Visak C. V. Kumar
Jielin Qiu
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Kuan-Hui Lee
Xuewei Qi
Henry Lam
Yue Liu
Ding Zhao
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230
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21 Oct 2022
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
International Conference on Machine Learning (ICML), 2022
Runlong Zhou
Ruosong Wang
S. Du
383
3
0
20 Oct 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
International Conference on Machine Learning (ICML), 2022
Haotian Ye
Xiaoyu Chen
Liwei Wang
S. Du
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319
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19 Oct 2022
Multi-User Reinforcement Learning with Low Rank Rewards
International Conference on Machine Learning (ICML), 2022
Naman Agarwal
Prateek Jain
S. Kowshik
Dheeraj M. Nagaraj
Praneeth Netrapalli
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243
1
0
11 Oct 2022
Tractable Optimality in Episodic Latent MABs
Neural Information Processing Systems (NeurIPS), 2022
Jeongyeol Kwon
Yonathan Efroni
Constantine Caramanis
Shie Mannor
310
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0
05 Oct 2022
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Jeongyeol Kwon
Yonathan Efroni
Constantine Caramanis
Shie Mannor
202
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05 Oct 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
Z. Daniels
Aswin Raghavan
Jesse Hostetler
Abrar Rahman
Indranil Sur
M. Piacentino
Ajay Divakaran
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273
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09 Aug 2022
Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning
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L. Durlofsky
155
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Minimum Description Length Control
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Theodore H. Moskovitz
Ta-Chu Kao
M. Sahani
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253
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Provably Efficient Lifelong Reinforcement Learning with Linear Function Approximation
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214
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Provable Benefits of Representational Transfer in Reinforcement Learning
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Alekh Agarwal
Yuda Song
Wen Sun
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Mengdi Wang
Xuezhou Zhang
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342
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0
29 May 2022
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
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David Reeb
M. Kandemir
Jan Peters
224
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0
07 Mar 2022
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Mirco Mutti
Ric De Santi
Emanuele Rossi
J. Calderón
Michael M. Bronstein
Marcello Restelli
399
16
0
14 Feb 2022
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
International Conference on Machine Learning (ICML), 2022
Jeongyeol Kwon
Yonathan Efroni
Constantine Caramanis
Shie Mannor
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265
6
0
30 Jan 2022
Learning Mixtures of Linear Dynamical Systems
International Conference on Machine Learning (ICML), 2022
Yanxi Chen
H. Vincent Poor
305
22
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Meta Learning MDPs with Linear Transition Models
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Robert Muller
Aldo Pacchiano
245
4
0
21 Jan 2022
Reinforcement Learning in Reward-Mixing MDPs
Jeongyeol Kwon
Yonathan Efroni
Constantine Caramanis
Shie Mannor
394
19
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07 Oct 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Shenao Zhang
Li Shen
Lei Han
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259
8
0
30 Aug 2021
Provably Efficient Multi-Task Reinforcement Learning with Model Transfer
Neural Information Processing Systems (NeurIPS), 2021
Chicheng Zhang
Zhi Wang
OffRL
318
19
0
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Multitasking Inhibits Semantic Drift
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Athul Paul Jacob
M. Lewis
Jacob Andreas
234
13
0
15 Apr 2021
RL for Latent MDPs: Regret Guarantees and a Lower Bound
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Jeongyeol Kwon
Yonathan Efroni
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Shie Mannor
316
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Near-optimal Representation Learning for Linear Bandits and Linear RL
International Conference on Machine Learning (ICML), 2021
Jiachen Hu
Xiaoyu Chen
Chi Jin
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375
58
0
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When Is Generalizable Reinforcement Learning Tractable?
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Yuanzhi Li
Pradeep Ravikumar
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0
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Multitask Bandit Learning Through Heterogeneous Feedback Aggregation
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Zhi Wang
Chicheng Zhang
Manish Singh
L. Riek
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456
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Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
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364
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Learning Robust State Abstractions for Hidden-Parameter Block MDPs
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Shagun Sodhani
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Joelle Pineau
377
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Sequential Transfer in Reinforcement Learning with a Generative Model
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Riccardo Poiani
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202
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