#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"

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Title
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning Shen Ren Qianxiao Li Liye Zhang Zheng Qin Bo Yang 26 0 0 22 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 25 25 0 05 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 30 43 0 28 Sep 2020
Revisiting Design Choices in Proximal Policy Optimization Chloe Ching-Yun Hsu Celestine Mendler-Dünner Moritz Hardt 25 53 0 23 Sep 2020
Explore and Explain: Self-supervised Navigation and Recounting Roberto Bigazzi Federico Landi Marcella Cornia S. Cascianelli Lorenzo Baraldi Rita Cucchiara EgoV LM&Ro 19 17 0 14 Jul 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 27 5 0 12 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 11 19 0 09 Jul 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 41 223 0 18 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 18 18 0 14 Jun 2020
Adaptive Reward-Free Exploration E. Kaufmann Pierre Ménard O. D. Domingues Anders Jonsson Edouard Leurent Michal Valko 30 80 0 11 Jun 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 350 0 27 Apr 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 38 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 29 510 0 30 Mar 2020
An Exploration of Embodied Visual Exploration Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman LM&Ro 32 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 43 188 0 23 Dec 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Kumar Misra Mikael Henaff A. Krishnamurthy John Langford 23 151 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 24 137 0 12 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 15 181 0 03 Oct 2019
Segregation Dynamics with Reinforcement Learning and Agent Based Modeling Egemen Sert Y. Bar-Yam A. Morales 16 39 0 18 Sep 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 15 4 0 25 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 21 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 18 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 33 269 0 08 Mar 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning Francisco M. Garcia Philip S. Thomas 16 38 0 03 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 361 0 30 Jan 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 35 7 0 24 Jan 2019
A Short Survey on Probabilistic Reinforcement Learning R. Russel 21 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 11 10 0 11 Dec 2018
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 36 136 0 08 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 33 293 0 06 Dec 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 29 3 0 11 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi Yijie Guo Marcin Moczulski Junhyuk Oh Neal Wu Mohammad Norouzi Honglak Lee 6 73 0 05 Nov 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 25 4 0 06 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 14 266 0 04 Oct 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 24 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 23 7 0 01 Jun 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 27 65 0 25 May 2018
An Adaptive Clipping Approach for Proximal Policy Optimization Gang Chen Yiming Peng Mengjie Zhang 14 22 0 17 Apr 2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning Bradly C. Stadie Ge Yang Rein Houthooft Xi Chen Yan Duan Yuhuai Wu Pieter Abbeel Ilya Sutskever LRM 25 116 0 03 Mar 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 49 227 0 13 Feb 2018
Exploration in Feature Space for Reinforcement Learning S. N. Sasikumar 52 4 0 05 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 53 2,775 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 84 2,293 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 78 498 0 17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 46 2,394 0 15 May 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 41 300 0 22 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 50 614 0 03 Mar 2017