#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
Learning

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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

15 November 2016

Pieter Abbeel

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Papers citing "#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning"

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Title
Shared Learning : Enhancing Reinforcement in $Q$ -Ensembles Rakesh R Menon Balaraman Ravindran 69 0 0 14 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 376 2,830 0 19 Aug 2017
Lenient Multi-Agent Deep Reinforcement Learning Gregory Palmer K. Tuyls D. Bloembergen Rahul Savani 186 164 0 14 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 609 2,543 0 05 Jul 2017
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning Haiyan Yin Jianda Chen Sinno Jialin Pan 67 5 0 03 Jul 2017
Count-Based Exploration in Feature Space for Reinforcement Learning Jarryd Martin S. N. Sasikumar Tom Everitt Marcus Hutter 179 128 0 25 Jun 2017
On Optimistic versus Randomized Exploration in Reinforcement Learning Ian Osband Benjamin Van Roy 123 12 0 13 Jun 2017
Parameter Space Noise for ExplorationInternational Conference on Learning Representations (ICLR), 2017 Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz 210 650 0 06 Jun 2017
UCB Exploration via Q-Ensembles Richard Y. Chen Szymon Sidor Pieter Abbeel John Schulman OffRL 196 5 0 05 Jun 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 484 551 0 17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 523 2,702 0 15 May 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 353 319 0 22 Mar 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play Sainbayar Sukhbaatar Zeming Lin Ilya Kostrikov Gabriel Synnaeve Arthur Szlam Rob Fergus SSL 307 357 0 15 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 215 661 0 03 Mar 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning Justin Fu John D. Co-Reyes Sergey Levine OffRL 239 161 0 03 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 835 1,727 0 25 Jan 2017
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning Oron Anschel Nir Baram N. Shimkin 310 346 0 07 Nov 2016