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Dyadic Reinforcement Learning

Dyadic Reinforcement Learning

15 August 2023
Shuangning Li
L. Niell
S. Choi
Inbal Nahum-Shani
Guy Shani
Susan Murphy
    OffRL
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Papers citing "Dyadic Reinforcement Learning"

9 / 9 papers shown
Title
Did we personalize? Assessing personalization by an online reinforcement
  learning algorithm using resampling
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
Susobhan Ghosh
Raphael Kim
Prasidh Chhabria
Raaz Dwivedi
Predrag Klasjna
Peng Liao
Kelly Zhang
Susan Murphy
OffRL
50
9
0
11 Apr 2023
Reward Design For An Online Reinforcement Learning Algorithm Supporting
  Oral Self-Care
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Anna L. Trella
Kelly W. Zhang
Inbal Nahum-Shani
Vivek Shetty
Finale Doshi-Velez
Susan Murphy
OnRL
49
21
0
15 Aug 2022
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value
  Iteration
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
Priyank Agrawal
Jinglin Chen
Nan Jiang
55
20
0
23 Oct 2020
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary
  Rewards
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
Siyuan Li
Rui Wang
Minxue Tang
Chongjie Zhang
62
83
0
10 Oct 2019
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa
Yan Duan
Pieter Abbeel
BDL
78
361
0
10 Apr 2017
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement
  Learning
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann
Tor Lattimore
Emma Brunskill
72
308
0
22 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement
  Learning
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Abhishek Gupta
Coline Devin
YuXuan Liu
Pieter Abbeel
Sergey Levine
82
268
0
08 Mar 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning
A Laplacian Framework for Option Discovery in Reinforcement Learning
Marlos C. Machado
Marc G. Bellemare
Michael Bowling
78
262
0
02 Mar 2017
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
68
1,134
0
20 Apr 2016
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