Large-Scale Study of Curiosity-Driven Learning

13 August 2018

Amos Storkey

Papers citing "Large-Scale Study of Curiosity-Driven Learning"

37 / 137 papers shown

Title
Interaction Networks: Using a Reinforcement Learner to train other Machine Learning algorithms Florian Dietz 17 1 0 15 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 18 18 0 14 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
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 398 0 12 May 2020
Whence the Expected Free Energy? Beren Millidge Alexander Tschantz Christopher L. Buckley 20 69 0 17 Apr 2020
Controlling Rayleigh-Bénard convection via Reinforcement Learning Gerben Beintema Alessandro Corbetta Luca Biferale F. Toschi AI4CE 27 79 0 31 Mar 2020
Self-Supervised Contextual Bandits in Computer Vision A. Deshmukh Abhimanu Kumar Levi Boyles Denis Xavier Charles Eren Manavoglu Ürün Dogan SSL 31 3 0 18 Mar 2020
Computer-inspired Quantum Experiments Mario Krenn Manuel Erhard A. Zeilinger 27 73 0 23 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 49 0 07 Feb 2020
An Exploration of Embodied Visual Exploration Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman LM&Ro 32 98 0 07 Jan 2020
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 22 12 0 19 Nov 2019
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning Patrik Reizinger Marton Szemenyei 31 16 0 23 Oct 2019
Dealing with Sparse Rewards in Reinforcement Learning J. Hare 21 77 0 21 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 21 137 0 12 Oct 2019
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning Ruijian Han Kani Chen Chunxi Tan 9 14 0 12 Oct 2019
Receding Horizon Curiosity M. Schultheis Boris Belousov Hany Abdulsamad Jan Peters 25 15 0 08 Oct 2019
Mathematical Reasoning in Latent Space Dennis Lee Christian Szegedy M. Rabe Sarah M. Loos Kshitij Bansal 30 33 0 26 Sep 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 14 5 0 02 Jul 2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Evan Racah C. Pal SSL 27 2 0 27 Jun 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 15 4 0 25 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
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
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 29 15 0 30 May 2019
Learning to Reason in Large Theories without Imitation Kshitij Bansal Christian Szegedy M. Rabe Sarah M. Loos Viktor Toman NAI LRM 23 42 0 25 May 2019
Differentiable Game Mechanics Alistair Letcher David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel 37 79 0 13 May 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood Gautham Vasan James Bergstra 19 28 0 27 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
World Discovery Models M. G. Azar Bilal Piot Bernardo Avila-Pires Jean-Bastien Grill Florent Altché Rémi Munos 21 26 0 20 Feb 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
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
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution G. Lee Chang Ouk Kim 13 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 33 37 0 17 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 33 292 0 06 Dec 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 24 177 0 29 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
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 16 808 0 07 Sep 2018