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Tighter Problem-Dependent Regret Bounds in Reinforcement Learning
  without Domain Knowledge using Value Function Bounds

Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds

1 January 2019
Andrea Zanette
Emma Brunskill
    OffRL
ArXivPDFHTML

Papers citing "Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds"

16 / 216 papers shown
Title
Conservative Exploration in Reinforcement Learning
Conservative Exploration in Reinforcement Learning
Evrard Garcelon
Mohammad Ghavamzadeh
A. Lazaric
Matteo Pirotta
27
28
0
08 Feb 2020
Reward-Free Exploration for Reinforcement Learning
Reward-Free Exploration for Reinforcement Learning
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
112
194
0
07 Feb 2020
No-Regret Exploration in Goal-Oriented Reinforcement Learning
No-Regret Exploration in Goal-Oriented Reinforcement Learning
Jean Tarbouriech
Evrard Garcelon
Michal Valko
Matteo Pirotta
A. Lazaric
24
45
0
07 Dec 2019
Corruption-robust exploration in episodic reinforcement learning
Corruption-robust exploration in episodic reinforcement learning
Thodoris Lykouris
Max Simchowitz
Aleksandrs Slivkins
Wen Sun
20
104
0
20 Nov 2019
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
Andrea Zanette
David Brandfonbrener
Emma Brunskill
Matteo Pirotta
A. Lazaric
30
127
0
01 Nov 2019
Model-free Reinforcement Learning in Infinite-horizon Average-reward
  Markov Decision Processes
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei
Mehdi Jafarnia-Jahromi
Haipeng Luo
Hiteshi Sharma
R. Jain
107
100
0
15 Oct 2019
Instance-dependent $\ell_\infty$-bounds for policy evaluation in tabular
  reinforcement learning
Instance-dependent ℓ∞\ell_\inftyℓ∞​-bounds for policy evaluation in tabular reinforcement learning
A. Pananjady
Martin J. Wainwright
OffRL
16
15
0
19 Sep 2019
$\sqrt{n}$-Regret for Learning in Markov Decision Processes with
  Function Approximation and Low Bellman Rank
n\sqrt{n}n​-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank
Kefan Dong
Jian-wei Peng
Yining Wang
Yuanshuo Zhou
OffRL
19
36
0
05 Sep 2019
Efficient Policy Learning for Non-Stationary MDPs under Adversarial Manipulation
Tiancheng Yu
S. Sra
AAML
21
2
0
22 Jul 2019
Ranking Policy Gradient
Ranking Policy Gradient
Kaixiang Lin
Jiayu Zhou
OffRL
24
7
0
24 Jun 2019
Regret Minimization for Reinforcement Learning by Evaluating the Optimal
  Bias Function
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
Zihan Zhang
Xiangyang Ji
13
71
0
12 Jun 2019
Model-Based Reinforcement Learning with a Generative Model is Minimax
  Optimal
Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal
Alekh Agarwal
Sham Kakade
Lin F. Yang
OffRL
39
168
0
10 Jun 2019
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy
  Policies
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
Yonathan Efroni
Nadav Merlis
Mohammad Ghavamzadeh
Shie Mannor
OffRL
24
68
0
27 May 2019
Learning When-to-Treat Policies
Learning When-to-Treat Policies
Xinkun Nie
Emma Brunskill
Stefan Wager
CML
OffRL
18
89
0
23 May 2019
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
Max Simchowitz
Kevin G. Jamieson
26
144
0
09 May 2019
Policy Certificates: Towards Accountable Reinforcement Learning
Policy Certificates: Towards Accountable Reinforcement Learning
Christoph Dann
Ashutosh Adhikari
Wei Wei
Jimmy J. Lin
OffRL
25
141
0
07 Nov 2018
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