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

15 November 2016

Pieter Abbeel

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

34 / 134 papers shown

Title
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 13 18 0 14 Jun 2020
Adaptive Reward-Free Exploration E. Kaufmann Pierre Ménard O. D. Domingues Anders Jonsson Edouard Leurent Michal Valko 27 79 0 11 Jun 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 11 13 0 21 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 349 0 27 Apr 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 27 54 0 24 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 13 509 0 30 Mar 2020
An Exploration of Embodied Visual Exploration Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman LM&Ro 30 98 0 07 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 34 188 0 23 Dec 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Kumar Misra Mikael Henaff A. Krishnamurthy John Langford 13 151 0 13 Nov 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 16 137 0 12 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 13 181 0 03 Oct 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 10 4 0 25 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 13 10 0 17 Jun 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning Sandy H. Huang Martina Zambelli Jackie Kay M. Martins Yuval Tassa P. Pilarski R. Hadsell 10 50 0 20 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 28 269 0 08 Mar 2019
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow Hsuan-Kung Yang Po-Han Chiang Kuan-Wei Ho Min-Fong Hong Chun-Yi Lee 21 7 0 24 Jan 2019
A Short Survey on Probabilistic Reinforcement Learning R. Russel 11 2 0 21 Jan 2019
Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes Jian Qian Ronan Fruit Matteo Pirotta A. Lazaric 6 10 0 11 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 25 292 0 06 Dec 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 19 4 0 06 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 9 266 0 04 Oct 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 19 87 0 04 Jul 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 21 7 0 01 Jun 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 14 65 0 25 May 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 32 227 0 13 Feb 2018
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 32 2,774 0 19 Aug 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 9 2,291 0 05 Jul 2017
Count-Based Exploration in Feature Space for Reinforcement Learning Jarryd Martin S. N. Sasikumar Tom Everitt Marcus Hutter 24 122 0 25 Jun 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 55 497 0 17 May 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 27 301 0 22 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 22 613 0 03 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016