Multi-Level Discovery of Deep Options

24 March 2017

Papers citing "Multi-Level Discovery of Deep Options"

29 / 79 papers shown

Title
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics Stéphane Doncieux Nicolas Bredèche L. L. Goff Benoît Girard Alexandre Coninx ... Natalia Díaz Rodríguez David Filliat Timothy M. Hospedales A. E. Eiben Richard J. Duro 19 19 0 13 May 2020
Reinforcement Learning via Reasoning from Demonstration Lisa A. Torrey 6 1 0 12 Apr 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 19 150 0 10 Feb 2020
Option Compatible Reward Inverse Reinforcement Learning Rakhoon Hwang HanJin Lee H. Hwang 11 10 0 07 Nov 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta Vikash Kumar Corey Lynch Sergey Levine Karol Hausman 11 420 0 25 Oct 2019
Weakly Supervised Recognition of Surgical Gestures Beatrice van Amsterdam H. Nakawala Elena De Momi Danail Stoyanov 29 26 0 25 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 22 18 0 01 Jul 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 285 0 12 Jun 2019
PLOTS: Procedure Learning from Observations using Subtask Structure Tong Mu Karan Goel Emma Brunskill 14 3 0 17 Apr 2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL Dhruva Tirumala Hyeonwoo Noh Alexandre Galashov Leonard Hasenclever Arun Ahuja Greg Wayne Razvan Pascanu Yee Whye Teh N. Heess OffRL 11 45 0 18 Mar 2019
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter Michael Danielczuk Andrey Kurenkov Ashwin Balakrishna Matthew Matl David Wang Roberto Martín-Martín Animesh Garg Silvio Savarese Ken Goldberg 6 110 0 04 Mar 2019
The Termination Critic Anna Harutyunyan Will Dabney Diana Borsa N. Heess Rémi Munos Doina Precup OffRL 16 48 0 26 Feb 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 27 20 0 29 Jan 2019
CompILE: Compositional Imitation Learning and Execution Thomas Kipf Yujia Li H. Dai V. Zambaldi Alvaro Sanchez-Gonzalez Edward Grefenstette Pushmeet Kohli Peter W. Battaglia VLM 22 13 0 04 Dec 2018
Discovering hierarchies using Imitation Learning from hierarchy aware policies Ameet Deshpande K. HarshavardhanP. Balaraman Ravindran 6 0 0 01 Dec 2018
Variational End-to-End Navigation and Localization Alexander Amini Guy Rosman S. Karaman Daniela Rus 22 111 0 25 Nov 2018
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models A. Tanwani Jonathan Lee Brijen Thananjeyan Michael Laskey S. Krishnan Roy Fox Ken Goldberg Sylvain Calinon SSL 11 16 0 19 Nov 2018
Diversity-Driven Extensible Hierarchical Reinforcement Learning Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Mai Xu 17 18 0 10 Nov 2018
Learning Representations in Model-Free Hierarchical Reinforcement Learning J. Rafati D. Noelle 11 45 0 23 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information Arjun Sharma Mohit Sharma Nicholas Rhinehart Kris M. Kitani 19 68 0 29 Sep 2018
Variational Option Discovery Algorithms Joshua Achiam Harrison Edwards Dario Amodei Pieter Abbeel DRL 14 176 0 26 Jul 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 29 142 0 07 Jun 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 17 51 0 11 May 2018
TACO: Learning Task Decomposition via Temporal Alignment for Control K. Shiarlis Markus Wulfmeier Sasha Salter Shimon Whiteson Ingmar Posner 23 92 0 02 Mar 2018
Learning Robust Bed Making using Deep Imitation Learning with DART Michael Laskey Chris Powers Ruta Joshi Arshan Poursohi Ken Goldberg 22 21 0 07 Nov 2017
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations S. Krishnan Roy Fox Ion Stoica Ken Goldberg 16 81 0 15 Oct 2017
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks Danfei Xu Suraj Nair Yuke Zhu J. Gao Animesh Garg Li Fei-Fei Silvio Savarese 14 193 0 04 Oct 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 24 147 0 30 May 2017
Learning from the memory of Atari 2600 Jakub Sygnowski Henryk Michalewski 39 12 0 04 May 2016