The Option Keyboard: Combining Skills in Reinforcement Learning

The Option Keyboard: Combining Skills in Reinforcement Learning

24 June 2021

Gheorghe Comanici

Daniel Toyama

Jonathan J. Hunt

David Silver

Papers citing "The Option Keyboard: Combining Skills in Reinforcement Learning"

13 / 63 papers shown

Title
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes Guillermo Infante Anders Jonsson Vicencc Gómez 14 5 0 29 Jun 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning Angelos Filos Clare Lyle Y. Gal Sergey Levine Natasha Jaques Gregory Farquhar 26 22 0 24 Feb 2021
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning D. Graves Jun Jin Jun Luo 38 2 0 29 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 311 0 25 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 29 85 0 17 Dec 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 41 68 0 17 Nov 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 20 8 0 03 Oct 2020
Learning Compositional Neural Programs for Continuous Control Thomas Pierrot Nicolas Perrin Feryal M. P. Behbahani Alexandre Laterre Olivier Sigaud Karim Beguir Nando de Freitas CLL 46 4 0 27 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 28 169 0 07 Jul 2020
Jump Operator Planning: Goal-Conditioned Policy Ensembles and Zero-Shot Transfer Thomas J. Ringstrom Mohammadhosein Hasanbeig Alessandro Abate 13 3 0 06 Jul 2020
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning Arjun Manoharan Rahul Ramesh Balaraman Ravindran 12 3 0 09 Sep 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 22 7 0 26 Feb 2019
Safe Option-Critic: Learning Safety in the Option-Critic Architecture Arushi Jain Khimya Khetarpal Doina Precup 16 26 0 21 Jul 2018