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Your Policy Regularizer is Secretly an Adversary

Your Policy Regularizer is Secretly an Adversary

23 March 2022
Rob Brekelmans
Tim Genewein
Jordi Grau-Moya
Grégoire Delétang
M. Kunesch
Shane Legg
Pedro A. Ortega
    AAML
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Papers citing "Your Policy Regularizer is Secretly an Adversary"

7 / 7 papers shown
Title
Behind the Myth of Exploration in Policy Gradients
Behind the Myth of Exploration in Policy Gradients
Adrien Bolland
Gaspard Lambrechts
Damien Ernst
51
0
0
31 Jan 2024
Policy Gradient Algorithms Implicitly Optimize by Continuation
Policy Gradient Algorithms Implicitly Optimize by Continuation
Adrien Bolland
Gilles Louppe
D. Ernst
31
3
0
11 May 2023
Twice Regularized Markov Decision Processes: The Equivalence between
  Robustness and Regularization
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
E. Derman
Yevgeniy Men
M. Geist
Shie Mannor
34
1
0
12 Mar 2023
Entropy Regularization for Population Estimation
Entropy Regularization for Population Estimation
Ben Chugg
Peter Henderson
Jacob Goldin
Daniel E. Ho
26
3
0
24 Aug 2022
Robust Reinforcement Learning in Continuous Control Tasks with
  Uncertainty Set Regularization
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
Yuan Zhang
Jianhong Wang
Joschka Boedecker
34
3
0
05 Jul 2022
Twice regularized MDPs and the equivalence between robustness and
  regularization
Twice regularized MDPs and the equivalence between robustness and regularization
E. Derman
M. Geist
Shie Mannor
53
52
0
12 Oct 2021
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
334
1,951
0
04 May 2020
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