Projects
Reading
People
Chat
SU\G
(đž)
/K·U
Projects
Reading
People
Chat
Sign Up
Light
Dark
System
A Laplacian Framework for Option Discovery in Reinforcement Learning
Marlos C. Machado
,
Marc G. Bellemare
,
Michael Bowling
Type:
Preprint
Publication Date:
2017-03-02
Citations:
114
View Publication
Share
Locations
arXiv (Cornell University) -
View
Similar Works
Action
Title
Year
Authors
+
A Laplacian Framework for Option Discovery in Reinforcement Learning
2017
Marlos C. Machado
Marc G. Bellemare
Michael Bowling
+
Temporal Abstraction in Reinforcement Learning with the Successor Representation
2021
Marlos C. Machado
André Sales Barreto
Doina Precup
Michael Bowling
+
Temporal Abstraction in Reinforcement Learning with the Successor Representation.
2021
Marlos C. Machado
André Barreto
Doina Precup
+
Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints
2020
Manuel Del Verme
Bruno Castro da Silva
Gianluca Baldassarre
+
PDF
Chat
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning
2021
Arjun Manoharan
Rahul Ramesh
Balaraman Ravindran
+
Reward-respecting subtasks for model-based reinforcement learning
2023
Richard S. Sutton
Marlos C. Machado
Gerhard Holland
David Szepesvari
Finbarr Timbers
B. K. Tanner
Adam White
+
Reward-Respecting Subtasks for Model-Based Reinforcement Learning
2022
Richard S. Sutton
Marlos C. Machado
Gerhard Holland
David Szepesvari
Finbarr Timbers
B. K. Tanner
Adam White
+
QUOTA: The Quantile Option Architecture for Reinforcement Learning
2018
Shangtong Zhang
Borislav Mavrin
Linglong Kong
Bo Liu
Hengshuai Yao
+
PDF
Chat
QUOTA: The Quantile Option Architecture for Reinforcement Learning
2019
Shangtong Zhang
Hengshuai Yao
+
Exploration in Feature Space for Reinforcement Learning
2017
Suraj Narayanan Sasikumar
+
Exploration in Feature Space for Reinforcement Learning
2017
Suraj Narayanan Sasikumar
+
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
2015
Bradly C. Stadie
Sergey Levine
Pieter Abbeel
+
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning
2019
Arjun Manoharan
R. Ramesh
Balaraman Ravindran
+
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning
2019
Arjun Manoharan
Rahul Ramesh
Balaraman Ravindran
+
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
2018
Leshem Choshen
Lior Fox
Yonatan Loewenstein
+
Count-Based Exploration with the Successor Representation
2018
Marlos C. Machado
Marc G. Bellemare
Michael Bowling
+
Count-Based Exploration with the Successor Representation
2018
Marlos C. Machado
Marc G. Bellemare
Michael Bowling
+
PDF
Chat
Count-Based Exploration with the Successor Representation
2020
Marlos C. Machado
Marc G. Bellemare
Michael Bowling
+
PDF
Chat
Reinforcement Learning with Options
2024
Ayoub Ghriss
Masashi Sugiyama
Alessandro Lazaric
+
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
2018
David M. Janz
Jiri Hron
P. Mazur
Katja Hofmann
José Miguel Hernåndez-Lobato
Sebastian Tschiatschek
Works That Cite This (60)
Action
Title
Year
Authors
+
Reward-Respecting Subtasks for Model-Based Reinforcement Learning
2022
Richard S. Sutton
Marlos C. Machado
Gerhard Holland
David Szepesvari
Finbarr Timbers
B. K. Tanner
Adam White
+
PDF
Chat
Exploration in deep reinforcement learning: A survey
2022
PaweĆ Ćadosz
Lilian Weng
Minwoo Kim
Hyondong Oh
+
PDF
Chat
Deep Reinforcement Learning
2019
Chong Li
+
PDF
Chat
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning
2019
Daoming Lyu
Fangkai Yang
Bo Liu
Steven Gustafson
+
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
2018
Adrien Laversanne-Finot
Alexandre Péré
PierreâYves Oudeyer
+
The Eigenoption-Critic Framework
2017
Miao Liu
Marlos C. Machado
Gerald Tesauro
Murray Campbell
+
Unsupervised Control Through Non-Parametric Discriminative Rewards
2018
David Warde-Farley
Tom Van de Wiele
Tejas Kulkarni
Catalin Ionescu
Steven Hansen
Volodymyr Mnih
+
Computational Theories of Curiosity-Driven Learning
2018
PierreâYves Oudeyer
+
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
2018
CĂ©dric Colas
Olivier Sigaud
PierreâYves Oudeyer
+
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
2018
Daoming Lyu
Fangkai Yang
Bo Liu
Steven Gustafson
Works Cited by This (0)
Action
Title
Year
Authors