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Efficient Evaluation of Natural Stochastic Policies in Offline
  Reinforcement Learning

Efficient Evaluation of Natural Stochastic Policies in Offline Reinforcement Learning

6 June 2020
Nathan Kallus
Masatoshi Uehara
    OffRL
ArXivPDFHTML

Papers citing "Efficient Evaluation of Natural Stochastic Policies in Offline Reinforcement Learning"

5 / 5 papers shown
Title
A Graphical Approach to State Variable Selection in Off-policy Learning
Joakim Blach Andersen
Qingyuan Zhao
CML
OffRL
38
0
0
03 Jan 2025
A Review of Off-Policy Evaluation in Reinforcement Learning
A Review of Off-Policy Evaluation in Reinforcement Learning
Masatoshi Uehara
C. Shi
Nathan Kallus
OffRL
49
69
0
13 Dec 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
29
2
0
22 Mar 2022
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with
  Double Reinforcement Learning
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning
Nathan Kallus
Masatoshi Uehara
OffRL
26
88
0
12 Sep 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in
  Markov Decision Processes
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus
Masatoshi Uehara
OffRL
52
183
0
22 Aug 2019
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