Count-Based Exploration with Neural Density Models

3 March 2017

Papers citing "Count-Based Exploration with Neural Density Models"

25 / 125 papers shown

Title
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
World Discovery Models M. G. Azar Bilal Piot Bernardo Avila-Pires Jean-Bastien Grill Florent Altché Rémi Munos 21 26 0 20 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
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution G. Lee Chang Ouk Kim 8 4 0 17 Jan 2019
Malthusian Reinforcement Learning Joel Z Leibo Julien Perolat Edward Hughes S. Wheelwright Adam H. Marblestone Edgar A. Duénez-Guzmán P. Sunehag Iain Dunning T. Graepel AI4CE 27 37 0 17 Dec 2018
On the potential for open-endedness in neural networks N. Guttenberg N. Virgo A. Penn 21 10 0 12 Dec 2018
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
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 31 136 0 08 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 27 292 0 06 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations Ozsel Kilinc Giovanni Montana 23 26 0 03 Dec 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
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge Michal Garmulewicz Henryk Michalewski Piotr Milos 16 8 0 10 Sep 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 21 372 0 08 Jun 2018
Re-evaluating Evaluation David Balduzzi K. Tuyls Julien Perolat T. Graepel MoMe 19 97 0 07 Jun 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
Computational Theories of Curiosity-Driven Learning Pierre-Yves Oudeyer 24 64 0 28 Feb 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 44 4 0 05 Oct 2017
Deep Abstract Q-Networks Melrose Roderick Christopher Grimm Stefanie Tellex 27 33 0 02 Oct 2017
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention William Saunders Girish Sastry Andreas Stuhlmuller Owain Evans OffRL 19 229 0 17 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 63 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
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 16 91 0 18 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 254 2,550 0 25 Jan 2016