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The Option-Critic Architecture

16 September 2016

Pierre-Luc Bacon

Papers citing "The Option-Critic Architecture"

22 / 22 papers shown

Title
Structured Reinforcement Learning for Combinatorial Decision-Making Heiko Hoppe Léo Baty Louis Bouvier Axel Parmentier Maximilian Schiffer OffRL 90 1 0 25 May 2025
Optimizing Electric Bus Charging Scheduling with Uncertainties Using Hierarchical Deep Reinforcement Learning Jiaju Qi Lei Lei Thorsteinn Jonsson Dusit Niyato 60 0 0 15 May 2025
Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots Brendon Johnson Alfredo Weitzenfeld 110 1 0 26 Apr 2025
OptionZero: Planning with Learned Options Po-Wei Huang Pei-Chiun Peng Hung Guei Ti-Rong Wu 102 1 0 23 Feb 2025
MuST: Multi-Head Skill Transformer for Long-Horizon Dexterous Manipulation with Skill Progress Kai Gao Fan Wang Erica Aduh Dylan Randle Jane Shi 142 0 0 04 Feb 2025
CORD: Generalizable Cooperation via Role Diversity Kanefumi Matsuyama Kefan Su Jiangxing Wang Deheng Ye Zongqing Lu 92 0 0 04 Jan 2025
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations Amirhossein Mesbah Reshad Hosseini Seyed Pooya Shariatpanahi M. N. Ahmadabadi 222 0 0 21 Dec 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 168 0 0 23 Oct 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Yixuan Huang Christopher Agia Jimmy Wu Tucker Hermans Jeannette Bohg 3DPC 126 2 0 27 Aug 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 107 1 0 21 Aug 2024
VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation Kuo-Han Hung Pang-Chi Lo Jia-Fong Yeh Han-Yuan Hsu Yi-Ting Chen Winston H. Hsu 133 0 0 26 May 2024
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games Zixuan Wu Sean Ye Manisha Natarajan Matthew C. Gombolay 119 6 0 16 Mar 2024
Feudal Steering: Hierarchical Learning for Steering Angle Prediction Faith Johnson Kristin J. Dana LLMSV 57 11 0 11 Jun 2020
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning Sahil Sharma A. Suresh Rahul Ramesh Balaraman Ravindran OffRL 49 36 0 20 May 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 72 92 0 18 May 2017
Strategic Attentive Writer for Learning Macro-Actions Alexander A. Vezhnevets Volodymyr Mnih J. Agapiou Simon Osindero Alex Graves Oriol Vinyals Koray Kavukcuoglu 50 171 0 15 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 74 1,137 0 20 Apr 2016
Adaptive Skills, Adaptive Partitions (ASAP) D. Mankowitz Timothy A. Mann Shie Mannor 57 58 0 10 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 207 8,879 0 04 Feb 2016
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 129 12,265 0 19 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,021 0 19 Jul 2012
Compositional Planning Using Optimal Option Models David Silver K. Ciosek 102 74 0 27 Jun 2012