Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study

19 June 2019

Papers citing "Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study"

35 / 35 papers shown

Title
Exploiting Submodular Value Functions For Scaling Up Active Perception Yash Satsangi Shimon Whiteson F. Oliehoek M. Spaan 98 25 0 21 Sep 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 44 15 0 11 May 2020
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments Glen Berseth Daniel Geng Coline Devin Nicholas Rhinehart Chelsea Finn Dinesh Jayaraman Sergey Levine 45 22 0 11 Dec 2019
Meta-descent for Online, Continual Prediction Andrew Jacobsen M. Schlegel Cam Linke T. Degris Adam White Martha White 44 23 0 17 Jul 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 54 377 0 10 Jun 2019
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning Alex Kearney Vivek Veeriah Jaden B. Travnik P. Pilarski R. Sutton OOD 56 13 0 08 Mar 2019
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 54 700 0 13 Aug 2018
Cleaning up the neighborhood: A full classification for adversarial partial monitoring Tor Lattimore Csaba Szepesvári 33 27 0 23 May 2018
TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent Alex Kearney Vivek Veeriah Jaden B. Travnik R. Sutton P. Pilarski 31 16 0 10 Apr 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration Alexandre Péré Sébastien Forestier Olivier Sigaud Pierre-Yves Oudeyer SSL DRL 27 95 0 02 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 68 446 0 28 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 55 117 0 21 Feb 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 48 158 0 14 Feb 2018
Curiosity-driven reinforcement learning with homeostatic regulation Ildefons Magrans de Abril Ryota Kanai 38 28 0 23 Jan 2018
Unsupervised Real-Time Control through Variational Empowerment Maximilian Karl Maximilian Soelch Philip Becker-Ehmck Djalel Benbouzid Patrick van der Smagt Justin Bayer 53 55 0 13 Oct 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 226 2,307 0 05 Jul 2017
Teacher-Student Curriculum Learning Tambet Matiisen Avital Oliver Taco S. Cohen John Schulman ODL 76 376 0 01 Jul 2017
Count-Based Exploration in Feature Space for Reinforcement Learning Jarryd Martin S. N. Sasikumar Tom Everitt Marcus Hutter 49 123 0 25 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 99 2,423 0 15 May 2017
Automated Curriculum Learning for Neural Networks Alex Graves Marc G. Bellemare Jacob Menick Rémi Munos Koray Kavukcuoglu 62 523 0 10 Apr 2017
Learning Active Learning from Data Ksenia Konyushkova Raphael Sznitman Pascal Fua 37 301 0 09 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 66 236 0 06 Mar 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 50 289 0 28 Dec 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 52 1,225 0 16 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 84 764 0 15 Nov 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 162 1,465 0 06 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 53 1,133 0 20 Apr 2016
Revisiting Active Perception R. Bajcsy Yiannis Aloimonos John K. Tsotsos 42 304 0 08 Mar 2016
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models Bradly C. Stadie Sergey Levine Pieter Abbeel 76 502 0 03 Jul 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 991 149,474 0 22 Dec 2014
Multi-Armed Bandits for Intelligent Tutoring Systems Benjamin Clément Didier Roy Pierre-Yves Oudeyer M. Lopes 49 139 0 11 Oct 2013
Scaling Life-long Off-policy Learning Adam White Joseph Modayil R. Sutton CLL OffRL 66 26 0 27 Jun 2012
Multi-timescale Nexting in a Reinforcement Learning Robot Joseph Modayil Adam White R. Sutton 163 130 0 06 Dec 2011
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization Daniel Golovin Andreas Krause 128 600 0 21 Mar 2010
Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes Jürgen Schmidhuber 68 187 0 23 Dec 2008