A Laplacian Framework for Option Discovery in Reinforcement Learning

2 March 2017

Papers citing "A Laplacian Framework for Option Discovery in Reinforcement Learning"

7 / 57 papers shown

Title
Learning Representations in Model-Free Hierarchical Reinforcement Learning J. Rafati D. Noelle 24 45 0 23 Oct 2018
Finding Options that Minimize Planning Time Yuu Jinnai David Abel D Ellis Hershkowitz Michael Littman George Konidaris 21 41 0 16 Oct 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 27 87 0 04 Jul 2018
Computational Theories of Curiosity-Driven Learning Pierre-Yves Oudeyer 32 64 0 28 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 50 319 0 12 Feb 2018
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 39 546 0 18 Sep 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 109 1,505 0 25 Jan 2017