Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration

Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration

23 October 2024

Sergey Levine

Papers citing "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration"

16 / 66 papers shown

Title
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 292 8,329 0 04 Jan 2018
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 106 2,436 0 15 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 80 361 0 10 Apr 2017
Multi-Level Discovery of Deep Options Roy Fox S. Krishnan Ion Stoica Ken Goldberg 52 125 0 24 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 69 237 0 06 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 84 620 0 03 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 84 905 0 03 Mar 2017
Variational Intrinsic Control Karol Gregor Danilo Jimenez Rezende Daan Wierstra DRL OffRL 66 428 0 22 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 89 771 0 15 Nov 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 62 1,086 0 16 Sep 2016
Strategic Attentive Writer for Learning Macro-Actions Alexander A. Vezhnevets Volodymyr Mnih J. Agapiou Simon Osindero Alex Graves Oriol Vinyals Koray Kavukcuoglu 47 171 0 15 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 167 1,477 0 06 Jun 2016
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering A. Srinivas Ramnandan Krishnamurthy Peeyush Kumar Balaraman Ravindran 52 41 0 17 May 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 68 4 0 20 Apr 2016
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models Bradly C. Stadie Sergey Levine Pieter Abbeel 89 505 0 03 Jul 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,338 0 03 Jun 2014