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2010.12866
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Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
24 October 2020
Kyungjae Lee
Hongjun Yang
Sungbin Lim
Songhwai Oh
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Papers citing
"Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards"
13 / 13 papers shown
Title
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
Yu Chen
Jiatai Huang
Yan Dai
Longbo Huang
141
2
0
04 Oct 2024
What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination
Laura Niss
Ambuj Tewari
31
10
0
12 Oct 2019
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards
Anmol Kagrecha
Jayakrishnan Nair
Krishna Jagannathan
50
47
0
03 Jun 2019
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
Baekjin Kim
Ambuj Tewari
AAML
20
14
0
02 Feb 2019
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Han Shao
Xiaotian Yu
Irwin King
Michael R. Lyu
48
46
0
25 Oct 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
284
8,313
0
04 Jan 2018
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning
Kyungjae Lee
Sungjoon Choi
Songhwai Oh
49
68
0
19 Sep 2017
Boltzmann Exploration Done Right
Nicolò Cesa-Bianchi
Claudio Gentile
Gábor Lugosi
Gergely Neu
82
168
0
29 May 2017
Fighting Bandits with a New Kind of Smoothness
Jacob D. Abernethy
Chansoo Lee
Ambuj Tewari
AAML
59
78
0
14 Dec 2015
Further Optimal Regret Bounds for Thompson Sampling
Shipra Agrawal
Navin Goyal
100
442
0
15 Sep 2012
Bandits with heavy tail
Sébastien Bubeck
Nicolò Cesa-Bianchi
Gábor Lugosi
178
290
0
08 Sep 2012
Deterministic Sequencing of Exploration and Exploitation for Multi-Armed Bandit Problems
Sattar Vakili
Keqin Liu
Qing Zhao
102
106
0
30 Jun 2011
Challenging the empirical mean and empirical variance: a deviation study
O. Catoni
155
462
0
10 Sep 2010
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