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Minimax Model Learning

Minimax Model Learning

2 March 2021
Cameron Voloshin
Nan Jiang
Yisong Yue
    OffRL
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Papers citing "Minimax Model Learning"

6 / 6 papers shown
Title
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
Pai Liu
Lingfeng Zhao
Shivangi Agarwal
Jinghan Liu
Audrey Huang
P. Amortila
Nan Jiang
OODD
OffRL
104
0
0
11 Feb 2025
On the Curses of Future and History in Future-dependent Value Functions
  for Off-policy Evaluation
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
Yuheng Zhang
Nan Jiang
OffRL
29
4
0
22 Feb 2024
The Virtues of Laziness in Model-based RL: A Unified Objective and
  Algorithms
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
Anirudh Vemula
Yuda Song
Aarti Singh
J. Andrew Bagnell
Sanjiban Choudhury
OffRL
43
13
0
01 Mar 2023
Provable Benefits of Actor-Critic Methods for Offline Reinforcement
  Learning
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette
Martin J. Wainwright
Emma Brunskill
OffRL
31
115
0
19 Aug 2021
Supervised Off-Policy Ranking
Supervised Off-Policy Ranking
Yue Jin
Yue Zhang
Tao Qin
Xudong Zhang
Jian Yuan
Houqiang Li
Tie-Yan Liu
OffRL
32
5
0
03 Jul 2021
Empirical Study of Off-Policy Policy Evaluation for Reinforcement
  Learning
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
Cameron Voloshin
Hoang Minh Le
Nan Jiang
Yisong Yue
OffRL
30
152
0
15 Nov 2019
1