Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

Papers citing "Curiosity-driven Exploration by Self-supervised Prediction"

50 / 1,353 papers shown

Title
Self Punishment and Reward Backfill for Deep Q-Learning M. Bonyadi Rui Wang M. Ziaei 22 5 0 10 Apr 2020
Learning to Visually Navigate in Photorealistic Environments Without any Supervision Lina Mezghani Sainbayar Sukhbaatar Arthur Szlam Armand Joulin Piotr Bojanowski SSL 39 10 0 10 Apr 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 102 123 0 07 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 91 26 0 06 Apr 2020
Intrinsic Exploration as Multi-Objective RL Philippe Morere F. Ramos 22 1 0 06 Apr 2020
Neural Game Engine: Accurate learning of generalizable forward models from pixels Chris Bamford Simon Lucas OCL 37 13 0 23 Mar 2020
Self-Supervised Contextual Bandits in Computer Vision A. Deshmukh Abhimanu Kumar Levi Boyles Denis Xavier Charles Eren Manavoglu Ürün Dogan SSL 55 3 0 18 Mar 2020
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning Fei Feng Ruosong Wang W. Yin S. Du Lin F. Yang OffRL SSL 83 7 0 15 Mar 2020
An Adversarial Objective for Scalable Exploration Bernadette Bucher Karl Schmeckpeper Nikolai Matni Kostas Daniilidis 65 2 0 13 Mar 2020
Option Discovery in the Absence of Rewards with Manifold Analysis Amitay Bar Ronen Talmon Ron Meir 71 5 0 12 Mar 2020
Meta-learning curiosity algorithms Ferran Alet Martin Schneider Tomas Lozano-Perez L. Kaelbling 99 64 0 11 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 122 176 0 10 Mar 2020
Exploring Unknown States with Action Balance Yan Song Yingfeng Chen Yujing Hu Changjie Fan 48 5 0 10 Mar 2020
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach Kanata Suzuki Yasuto Yokota Yuzi Kanazawa T. Takebayashi 34 15 0 08 Mar 2020
Scaling MAP-Elites to Deep Neuroevolution Cédric Colas Joost Huizinga Vashisht Madhavan Jeff Clune 88 89 0 03 Mar 2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning Haozhe Jasper Wang Jiale Zhou Xuming He OffRL LRM 81 15 0 03 Mar 2020
Gaussian Process Policy Optimization Anand Srinivasa Rao Bidipta Sarkar Tejas Narayanan GP 33 0 0 02 Mar 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 88 72 0 28 Feb 2020
On Catastrophic Interference in Atari 2600 Games W. Fedus Dibya Ghosh John D. Martin Marc G. Bellemare Yoshua Bengio Hugo Larochelle 84 27 0 28 Feb 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 88 174 0 27 Feb 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 169 4 0 27 Feb 2020
Optimistic Exploration even with a Pessimistic Initialisation Tabish Rashid Bei Peng Wendelin Bohmer Shimon Whiteson OffRL OnRL 78 45 0 26 Feb 2020
Computer-inspired Quantum Experiments Mario Krenn Manuel Erhard A. Zeilinger 72 75 0 23 Feb 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration Cédric Colas Tristan Karch Nicolas Lair Jean-Michel Dussoux Clément Moulin-Frier Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro LLMAG LRM 79 124 0 21 Feb 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong Alex Schwing Jian Peng DRL 121 5 0 21 Feb 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari Xingdi Yuan Marc-Alexandre Côté M. Zelinka Marc-Antoine Rondeau Romain Laroche Pascal Poupart Jian Tang Adam Trischler William L. Hamilton AI4CE 97 81 0 21 Feb 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy Jiaxing Zhang Hoang Tran Guannan Zhang 68 9 0 21 Feb 2020
Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges Clément Moulin-Frier Pierre-Yves Oudeyer LM&Ro 120 7 0 20 Feb 2020
Never Give Up: Learning Directed Exploration Strategies Adria Puigdomenech Badia Pablo Sprechmann Alex Vitvitskyi Daniel Guo Bilal Piot ... O. Tieleman Martín Arjovsky Alexander Pritzel Andew Bolt Charles Blundell 86 301 0 14 Feb 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 63 4 0 13 Feb 2020
Resolving Spurious Correlations in Causal Models of Environments via Interventions S. Volodin Nevan Wichers Jeremy Nixon CML 75 18 0 12 Feb 2020
Intrinsic Motivation for Encouraging Synergistic Behavior Rohan Chitnis Shubham Tulsiani Saurabh Gupta Abhinav Gupta 50 28 0 12 Feb 2020
Towards Intelligent Pick and Place Assembly of Individualized Products Using Reinforcement Learning Caterina Neef Dario Luipers J. Bollenbacher Christian Gebel A. Richert 59 4 0 11 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 112 156 0 10 Feb 2020
Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons Chen Tessler Shie Mannor 70 2 0 09 Feb 2020
Multi-task Reinforcement Learning with a Planning Quasi-Metric Vincent Micheli Karthigan Sinnathamby Franccois Fleuret 70 2 0 08 Feb 2020
Capsule Network Performance with Autonomous Navigation Tom Molnar Eugenio Culurciello 3DPC 25 2 0 08 Feb 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts Gilwoo Lee Brian Hou Sanjiban Choudhury S. Srinivasa BDL OffRL 69 7 0 07 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 113 34 0 07 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 99 49 0 07 Feb 2020
An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning Anssi Kanervisto Ville Hautamaki Tomi Kinnunen Junichi Yamagishi 28 2 0 06 Feb 2020
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning Rui Zhao Yang Gao Pieter Abbeel Volker Tresp Wenyuan Xu SSL 62 4 0 05 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 367 1,710 0 02 Feb 2020
Exploration Based Language Learning for Text-Based Games Andrea Madotto Mahdi Namazifar Joost Huizinga Piero Molino Adrien Ecoffet H. Zheng Alexandros Papangelis Dian Yu Chandra Khatri Gokhan Tur LLMAG 166 31 0 24 Jan 2020
Reinforcement Learning with Probabilistically Complete Exploration Philippe Morere Gilad Francis Tom Blau Fabio Ramos OffRL 41 7 0 20 Jan 2020
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback Baicen Xiao Qifan Lu Bhaskar Ramasubramanian Andrew Clark L. Bushnell Radha Poovendran 78 25 0 19 Jan 2020
MIME: Mutual Information Minimisation Exploration Haitao Xu B. McCane Lech Szymanski C. Atkinson SSL 11 1 0 16 Jan 2020
Smooth markets: A basic mechanism for organizing gradient-based learners David Balduzzi Wojciech M. Czarnecki Thomas W. Anthony I. Gemp Edward Hughes Joel Z Leibo Georgios Piliouras T. Graepel 77 15 0 14 Jan 2020
Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning Michiel van der Meer Matteo Pirotta Elia Bruni 60 1 0 13 Jan 2020
An Exploration of Embodied Visual Exploration Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman LM&Ro 98 100 0 07 Jan 2020