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On the Role of Weight Sharing During Deep Option Learning
v1v2 (latest)

On the Role of Weight Sharing During Deep Option Learning

AAAI Conference on Artificial Intelligence (AAAI), 2019
31 December 2019
Matthew D Riemer
Ignacio Cases
Clemens Rosenbaum
Miao Liu
Gerald Tesauro
    OffRL
ArXiv (abs)PDFHTML

Papers citing "On the Role of Weight Sharing During Deep Option Learning"

9 / 9 papers shown
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Hongjoon Ahn
Heewoong Choi
Jisu Han
Taesup Moon
OffRL
323
2
0
19 May 2025
OptionZero: Planning with Learned Options
OptionZero: Planning with Learned OptionsInternational Conference on Learning Representations (ICLR), 2025
Po-Wei Huang
Pei-Chiun Peng
Hung Guei
Tai-Lin Wu
538
2
0
23 Feb 2025
Enabling Realtime Reinforcement Learning at Scale with Staggered
  Asynchronous Inference
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous InferenceInternational Conference on Learning Representations (ICLR), 2024
Matthew D Riemer
G. Subbaraj
Glen Berseth
Irina Rish
OffRL
302
6
0
18 Dec 2024
Continual Learning In Environments With Polynomial Mixing Times
Continual Learning In Environments With Polynomial Mixing Times
Matthew D Riemer
Sharath Chandra Raparthy
Ignacio Cases
G. Subbaraj
M. P. Touzel
Irina Rish
CLL
177
15
0
13 Dec 2021
Context-Specific Representation Abstraction for Deep Option Learning
Context-Specific Representation Abstraction for Deep Option Learning
Marwa Abdulhai
Dong-Ki Kim
Matthew D Riemer
Miao Liu
Gerald Tesauro
Jonathan P. How
OffRL
298
13
0
20 Sep 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and PerspectivesJournal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
553
376
0
25 Dec 2020
Continuous Action Reinforcement Learning from a Mixture of Interpretable
  Experts
Continuous Action Reinforcement Learning from a Mixture of Interpretable ExpertsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
R. Akrour
Davide Tateo
Jan Peters
187
26
0
10 Jun 2020
Coagent Networks Revisited
Coagent Networks Revisited
Modjtaba Shokrian Zini
M. Pedramfar
Matthew D Riemer
Ahmadreza Moradipari
Miao Liu
162
6
0
28 Jan 2020
Hierarchical Average Reward Policy Gradient Algorithms
Hierarchical Average Reward Policy Gradient AlgorithmsAAAI Conference on Artificial Intelligence (AAAI), 2019
Akshay Dharmavaram
Matthew D Riemer
S. Bhatnagar
50
0
0
20 Nov 2019
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