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More for Less: Safe Policy Improvement With Stronger Performance
  Guarantees

More for Less: Safe Policy Improvement With Stronger Performance Guarantees

13 May 2023
Patrick Wienhoft
Marnix Suilen
T. D. Simão
Clemens Dubslaff
C. Baier
N. Jansen
    OffRL
ArXivPDFHTML

Papers citing "More for Less: Safe Policy Improvement With Stronger Performance Guarantees"

6 / 6 papers shown
Title
Decision-Point Guided Safe Policy Improvement
Decision-Point Guided Safe Policy Improvement
Abhishek Sharma
Leo Benac
S. Parbhoo
Finale Doshi-Velez
OffRL
30
0
0
12 Oct 2024
What Are the Odds? Improving the foundations of Statistical Model Checking
What Are the Odds? Improving the foundations of Statistical Model Checking
Tobias Meggendorfer
Maximilian Weininger
Patrick Wienhoft
39
4
0
08 Apr 2024
Safe Policy Improvement Approaches on Discrete Markov Decision Processes
Safe Policy Improvement Approaches on Discrete Markov Decision Processes
Philipp Scholl
Felix Dietrich
Clemens Otte
Steffen Udluft
24
5
0
28 Jan 2022
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
219
413
0
16 Feb 2021
Towards Safe Policy Improvement for Non-Stationary MDPs
Towards Safe Policy Improvement for Non-Stationary MDPs
Yash Chandak
Scott M. Jordan
Georgios Theocharous
Martha White
Philip S. Thomas
OffRL
71
33
0
23 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
1