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Regularization Matters in Policy Optimization
v1v2v3v4v5 (latest)

Regularization Matters in Policy Optimization

21 October 2019
Zhuang Liu
Xuanlin Li
Bingyi Kang
Trevor Darrell
    OffRL
ArXiv (abs)PDFHTMLGithub (20★)

Papers citing "Regularization Matters in Policy Optimization"

22 / 22 papers shown
SpaceVista: All-Scale Visual Spatial Reasoning from mm to km
SpaceVista: All-Scale Visual Spatial Reasoning from mm to km
Peiwen Sun
Shiqiang Lang
Dongming Wu
Yi Ding
Kaituo Feng
...
Zhen Ye
Rui Liu
Y. Liu
Jianan Wang
Xiangyu Yue
LRM
197
3
0
10 Oct 2025
Towards a Sharp Analysis of Offline Policy Learning for $f$-Divergence-Regularized Contextual Bandits
Towards a Sharp Analysis of Offline Policy Learning for fff-Divergence-Regularized Contextual Bandits
Qingyue Zhao
Kaixuan Ji
Heyang Zhao
Tong Zhang
Q. Gu
OffRL
496
0
0
09 Feb 2025
The impact of intrinsic rewards on exploration in Reinforcement Learning
The impact of intrinsic rewards on exploration in Reinforcement Learning
Aya Kayal
Eduardo Pignatelli
Laura Toni
305
8
0
20 Jan 2025
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
328
37
0
22 Apr 2024
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization
Solving Non-Rectangular Reward-Robust MDPs via Frequency RegularizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Uri Gadot
E. Derman
Navdeep Kumar
Maxence Mohamed Elfatihi
Kfir Y. Levy
Shie Mannor
481
10
0
03 Sep 2023
Relative Sparsity for Medical Decision Problems
Relative Sparsity for Medical Decision ProblemsStatistics in Medicine (Stat Med), 2022
Samuel J. Weisenthal
Sally W. Thurston
Ashkan Ertefaie
268
4
0
29 Nov 2022
Normality-Guided Distributional Reinforcement Learning for Continuous Control
Normality-Guided Distributional Reinforcement Learning for Continuous Control
Ju-Seung Byun
Andrew Perrault
OffRL
437
1
0
28 Aug 2022
Robust Reinforcement Learning in Continuous Control Tasks with
  Uncertainty Set Regularization
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set RegularizationConference on Robot Learning (CoRL), 2022
Yuan Zhang
Jianhong Wang
Joschka Boedecker
510
6
0
05 Jul 2022
Retrieval-Augmented Reinforcement Learning
Retrieval-Augmented Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Anirudh Goyal
A. Friesen
Andrea Banino
T. Weber
Nan Rosemary Ke
...
Michal Valko
Simon Osindero
Timothy Lillicrap
N. Heess
Charles Blundell
OffRL
489
69
0
17 Feb 2022
IPAPRec: A promising tool for learning high-performance mapless
  navigation skills with deep reinforcement learning
IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learningIEEE/ASME transactions on mechatronics (IEEE/ASME Trans. Mechatronics), 2021
Wei Zhang
Yunfeng Zhang
Ning Liu
Kai Ren
Pengfei Wang
258
25
0
22 Mar 2021
Training Larger Networks for Deep Reinforcement Learning
Training Larger Networks for Deep Reinforcement Learning
Keita Ota
Devesh K. Jha
Asako Kanezaki
OffRL
300
47
0
16 Feb 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
835
3
0
04 Jan 2021
Regularizing Action Policies for Smooth Control with Reinforcement
  Learning
Regularizing Action Policies for Smooth Control with Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2020
Siddharth Mysore
B. Mabsout
R. Mancuso
Kate Saenko
277
106
0
11 Dec 2020
Learning from Simulation, Racing in Reality
Learning from Simulation, Racing in RealityIEEE International Conference on Robotics and Automation (ICRA), 2020
Eugenio Chisari
Alexander Liniger
Alisa Rupenyan
Luc Van Gool
John Lygeros
299
32
0
26 Nov 2020
Proximal Policy Gradient: PPO with Policy Gradient
Proximal Policy Gradient: PPO with Policy Gradient
Ju-Seung Byun
Byungmoon Kim
Huamin Wang
OffRL
145
11
0
20 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
1.1K
95
0
17 Sep 2020
Discount Factor as a Regularizer in Reinforcement Learning
Discount Factor as a Regularizer in Reinforcement Learning
Ron Amit
Ron Meir
K. Ciosek
OffRL
283
85
0
04 Jul 2020
Preventing Value Function Collapse in Ensemble {Q}-Learning by
  Maximizing Representation Diversity
Preventing Value Function Collapse in Ensemble {Q}-Learning by Maximizing Representation Diversity
Hassam Sheikh
Ladislau Bölöni
201
0
0
24 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement
  Learning
Transient Non-Stationarity and Generalisation in Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020
Maximilian Igl
Gregory Farquhar
Jelena Luketina
Wendelin Boehmer
Shimon Whiteson
459
101
0
10 Jun 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsInternational Conference on Learning Representations (ICLR), 2020
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
658
905
0
28 Apr 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for
  Cooperative Multi-agent Reinforcement Learning
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement LearningJournal of machine learning research (JMLR), 2020
Wenhao Li
Bo Jin
Xiangfeng Wang
Junchi Yan
H. Zha
438
29
0
17 Apr 2020
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Nhan H. Pham
Lam M. Nguyen
Dzung Phan
Phuong Ha Nguyen
Marten van Dijk
Quoc Tran-Dinh
327
28
0
01 Mar 2020
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