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Policy Error Bounds for Model-Based Reinforcement Learning with Factored
  Linear Models
v1v2 (latest)

Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models

19 February 2016
Bernardo Avila-Pires
Csaba Szepesvári
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models"

14 / 14 papers shown
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and
  Online LQR
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQRConference on Learning for Dynamics & Control (L4DC), 2023
Jaeuk Shin
Giho Kim
Howon Lee
Joonho Han
Insoon Yang
OffRL
304
1
0
09 Dec 2023
Maximum Entropy Model Correction in Reinforcement Learning
Maximum Entropy Model Correction in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
Amin Rakhsha
Mete Kemertas
Mohammad Ghavamzadeh
Amir-massoud Farahmand
247
3
0
29 Nov 2023
Operator Splitting Value Iteration
Operator Splitting Value IterationNeural Information Processing Systems (NeurIPS), 2022
Amin Rakhsha
Andrew Wang
Mohammad Ghavamzadeh
Amir-massoud Farahmand
OffRL
220
9
0
25 Nov 2022
Primal-dual regression approach for Markov decision processes with
  general state and action space
Primal-dual regression approach for Markov decision processes with general state and action space
Denis Belomestny
J. Schoenmakers
89
1
0
01 Oct 2022
UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms
UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms
Denis Belomestny
I. Levin
Eric Moulines
A. Naumov
OffRL
284
0
0
05 May 2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov
  Decision Processes
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision ProcessesAnnual Conference Computational Learning Theory (COLT), 2020
Dongruo Zhou
Quanquan Gu
Csaba Szepesvári
334
228
0
15 Dec 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement
  Learning?
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?
Qiwen Cui
Lin F. Yang
OffRL
216
14
0
12 Oct 2020
A Unifying View of Optimism in Episodic Reinforcement Learning
A Unifying View of Optimism in Episodic Reinforcement Learning
Gergely Neu
Ciara Pike-Burke
229
76
0
03 Jul 2020
Online learning in MDPs with linear function approximation and bandit
  feedback
Online learning in MDPs with linear function approximation and bandit feedback
Gergely Neu
Julia Olkhovskaya
305
39
0
03 Jul 2020
Model-Based Reinforcement Learning with Value-Targeted Regression
Model-Based Reinforcement Learning with Value-Targeted RegressionConference on Learning for Dynamics & Control (L4DC), 2020
Alex Ayoub
Zeyu Jia
Csaba Szepesvári
Mengdi Wang
Lin F. Yang
OffRL
458
321
0
01 Jun 2020
Information-Theoretic Considerations in Batch Reinforcement Learning
Information-Theoretic Considerations in Batch Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019
Jinglin Chen
Nan Jiang
OODOffRL
566
412
0
01 May 2019
Towards a Simple Approach to Multi-step Model-based Reinforcement
  Learning
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning
Kavosh Asadi
Evan Cater
Dipendra Kumar Misra
Michael L. Littman
OffRL
241
16
0
31 Oct 2018
Organizing Experience: A Deeper Look at Replay Mechanisms for
  Sample-based Planning in Continuous State Domains
Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains
Yangchen Pan
M. Zaheer
Adam White
Andrew Patterson
Martha White
336
49
0
12 Jun 2018
Lipschitz Continuity in Model-based Reinforcement Learning
Lipschitz Continuity in Model-based Reinforcement LearningInternational Conference on Machine Learning (ICML), 2018
Kavosh Asadi
Dipendra Kumar Misra
Michael L. Littman
KELM
428
177
0
19 Apr 2018
1
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