Unifying Count-Based Exploration and Intrinsic Motivation

6 June 2016

Papers citing "Unifying Count-Based Exploration and Intrinsic Motivation"

50 / 334 papers shown

Title
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 44 151 0 12 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 35 375 0 10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay John Lanier Stephen Marcus McAleer Pierre Baldi OffRL 15 25 0 09 Jun 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 29 15 0 30 May 2019
Reinforcement Learning without Ground-Truth State Xingyu Lin H. Baweja David Held OffRL SSL 20 24 0 20 May 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 29 51 0 05 May 2019
Deep Policies for Width-Based Planning in Pixel Domains Miquel Junyent Anders Jonsson Vicencc Gómez 36 10 0 12 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 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
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 27 54 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 24 362 0 30 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 35 26 0 28 Jan 2019
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching Tom Zahavy Shie Mannor HAI 36 30 0 24 Jan 2019
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution G. Lee Chang Ouk Kim 18 4 0 17 Jan 2019
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning Ameer Haj-Ali Qijing Huang William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 29 36 0 15 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 33 37 0 17 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 19 276 0 14 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 14 10 0 11 Dec 2018
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 42 136 0 08 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 36 293 0 06 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations Ozsel Kilinc Giovanni Montana 23 26 0 03 Dec 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments Qihao Liu Yujia Wang Xiao-Fei Liu 22 8 0 26 Nov 2018
Urban Driving with Multi-Objective Deep Reinforcement Learning Changjian Li Krzysztof Czarnecki 13 72 0 21 Nov 2018
Bayesian Reinforcement Learning in Factored POMDPs Sammie Katt F. Oliehoek Chris Amato 20 39 0 14 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi Yijie Guo Marcin Moczulski Junhyuk Oh Neal Wu Mohammad Norouzi Honglak Lee 8 73 0 05 Nov 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 24 178 0 29 Oct 2018
Learning Representations in Model-Free Hierarchical Reinforcement Learning J. Rafati D. Noelle 24 45 0 23 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 43 551 0 12 Oct 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
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 8 234 0 26 Sep 2018
Neural Approaches to Conversational AI Jianfeng Gao Michel Galley Lihong Li 46 670 0 21 Sep 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning Izumi Karino Kazutoshi Tanaka Ryuma Niiyama Y. Kuniyoshi 19 3 0 18 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge Michal Garmulewicz Henryk Michalewski Piotr Milos 16 8 0 10 Sep 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 38 535 0 12 Jul 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 27 87 0 04 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 31 19 0 25 Jun 2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning Ildefons Magrans de Abril Ryota Kanai 24 18 0 18 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 21 372 0 08 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 34 142 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
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update Su Young Lee Sung-Ik Choi Sae-Young Chung BDL 21 73 0 31 May 2018
Playing hard exploration games by watching YouTube Y. Aytar Tobias Pfaff David Budden T. Paine Ziyun Wang Nando de Freitas 35 269 0 29 May 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 27 65 0 25 May 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning Elad Sarafian Aviv Tamar Sarit Kraus OffRL 32 11 0 20 May 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 25 51 0 11 May 2018
Learning Awareness Models Brandon Amos Laurent Dinh Serkan Cabi Thomas Rothörl Sergio Gomez Colmenarejo Alistair Muldal Tom Erez Yuval Tassa Nando de Freitas Misha Denil 29 44 0 17 Apr 2018