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DrM: Mastering Visual Reinforcement Learning through Dormant Ratio
  Minimization

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization

30 October 2023
Guowei Xu
Ruijie Zheng
Yongyuan Liang
Xiyao Wang
Zhecheng Yuan
Tianying Ji
Yu-Juan Luo
Xiaoyu Liu
Jiaxin Yuan
Pu Hua
Shuzhen Li
Yanjie Ze
Hal Daumé
Furong Huang
Huazhe Xu
ArXivPDFHTML

Papers citing "DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization"

13 / 13 papers shown
Title
Zero-Shot Sim-to-Real Reinforcement Learning for Fruit Harvesting
Zero-Shot Sim-to-Real Reinforcement Learning for Fruit Harvesting
Emlyn Williams
Athanasios Polydoros
OffRL
16
0
0
13 May 2025
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Abdulaziz Almuzairee
Rohan Patil
Dwait Bhatt
Henrik I. Christensen
27
0
0
07 May 2025
Understanding and Exploiting Plasticity for Non-stationary Network Resource Adaptation
Understanding and Exploiting Plasticity for Non-stationary Network Resource Adaptation
Zhiqiang He
Zhi Liu
CLL
54
0
0
02 May 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
63
1
0
24 Feb 2025
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
Fangwei Zhong
Kui Wu
Churan Wang
Hao Chen
Hai Ci
Zhoujun Li
Yizhou Wang
VGen
38
0
0
31 Dec 2024
Prioritized Generative Replay
Prioritized Generative Replay
Renhao Wang
Kevin Frans
Pieter Abbeel
Sergey Levine
Alexei A. Efros
OnRL
DiffM
82
2
0
23 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
C. Voelcker
Marcel Hussing
Eric Eaton
Amir-massoud Farahmand
Igor Gilitschenski
39
1
0
11 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning
Neuroplastic Expansion in Deep Reinforcement Learning
Jiashun Liu
J. Obando-Ceron
Aaron C. Courville
L. Pan
31
3
0
10 Oct 2024
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically
  for Model-Based RL
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
Xiyao Wang
Ruijie Zheng
Yanchao Sun
Ruonan Jia
Wichayaporn Wongkamjan
Huazhe Xu
Furong Huang
OffRL
49
12
0
11 Oct 2023
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
85
178
0
16 May 2022
UCB Momentum Q-learning: Correcting the bias without forgetting
UCB Momentum Q-learning: Correcting the bias without forgetting
Pierre Menard
O. D. Domingues
Xuedong Shang
Michal Valko
70
40
0
01 Mar 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
261
337
0
14 Sep 2020
Reward-Free Exploration for Reinforcement Learning
Reward-Free Exploration for Reinforcement Learning
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
104
194
0
07 Feb 2020
1