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Successor Options: An Option Discovery Framework for Reinforcement
  Learning

Successor Options: An Option Discovery Framework for Reinforcement Learning

14 May 2019
Rahul Ramesh
Manan Tomar
Balaraman Ravindran
ArXivPDFHTML

Papers citing "Successor Options: An Option Discovery Framework for Reinforcement Learning"

4 / 4 papers shown
Title
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
27
0
0
19 May 2025
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Amirhossein Mesbah
Reshad Hosseini
Seyed Pooya Shariatpanahi
M. N. Ahmadabadi
82
0
0
21 Dec 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Anthony GX-Chen
Kenneth Marino
Rob Fergus
OCL
63
1
0
21 Aug 2024
MO2: Model-Based Offline Options
MO2: Model-Based Offline Options
Sasha Salter
Markus Wulfmeier
Dhruva Tirumala
N. Heess
Martin Riedmiller
R. Hadsell
Dushyant Rao
OffRL
34
13
0
05 Sep 2022
1