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
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 92 139 0 12 Oct 2019
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning Ruijian Han Kani Chen Chunxi Tan 24 14 0 12 Oct 2019
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 31 15 0 10 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber OffRL 95 119 0 09 Oct 2019
Receding Horizon Curiosity M. Schultheis Boris Belousov Hany Abdulsamad Jan Peters 75 15 0 08 Oct 2019
Object-centric Forward Modeling for Model Predictive Control Yufei Ye Dhiraj Gandhi Abhinav Gupta Shubham Tulsiani LM&Ro OCL 62 39 0 08 Oct 2019
Information based Deep Clustering: An experimental study Jizong Peng Christian Desrosiers M. Pedersoli 58 1 0 03 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 176 571 0 01 Oct 2019
MERL: Multi-Head Reinforcement Learning Yannis Flet-Berliac Philippe Preux OffRL 126 13 0 26 Sep 2019
Active inference: demystified and compared Noor Sajid Philip J. Ball Thomas Parr Karl J. Friston OffRL 41 3 0 24 Sep 2019
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning Juan Cruz Barsce J. Palombarini E. Martínez OffRL 30 0 0 18 Sep 2019
Learning to Manipulate Object Collections Using Grounded State Representations Matthew Wilson Tucker Hermans SSL 104 27 0 17 Sep 2019
Emergent Tool Use From Multi-Agent Autocurricula Bowen Baker I. Kanitscheider Todor Markov Yi Wu Glenn Powell Bob McGrew Igor Mordatch LRM 77 658 0 17 Sep 2019
Model Based Planning with Energy Based Models Yilun Du Toru Lin Igor Mordatch 97 38 0 15 Sep 2019
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space Zac Wellmer James T. Kwok 31 0 0 15 Sep 2019
Interactive Fiction Games: A Colossal Adventure Matthew J. Hausknecht Prithviraj Ammanabrolu Marc-Alexandre Côté Xingdi Yuan LLMAG LM&Ro AI4CE 95 197 0 11 Sep 2019
Reinforcement learning with world model Jingbin Liu Xinyang Gu Shuai Liu 31 0 0 30 Aug 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 121 144 0 19 Aug 2019
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 91 25 0 13 Aug 2019
Learning to Explore in Motion and Interaction Tasks Miroslav Bogdanovic Ludovic Righetti 24 1 0 10 Aug 2019
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 87 41 0 06 Aug 2019
Reusability and Transferability of Macro Actions for Reinforcement Learning Yi-Hsiang Chang Kuan-Yu Chang Henry Kuo Chun-Yi Lee 71 2 0 05 Aug 2019
Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation Yadan Luo Zi Huang Zheng Zhang Ziwei Wang Jingjing Li Yang Yang 71 40 0 01 Aug 2019
Multi-task Self-Supervised Learning for Human Activity Detection Aaqib Saeed T. Ozcelebi J. Lukkien SSL 158 277 0 27 Jul 2019
To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments Noriyuki Kojima Jia Deng 76 17 0 26 Jul 2019
Environment Probing Interaction Policies Wenxuan Zhou Lerrel Pinto Abhinav Gupta 61 67 0 26 Jul 2019
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL Nirbhay Modhe Prithvijit Chattopadhyay Mohit Sharma Abhishek Das Devi Parikh Dhruv Batra Ramakrishna Vedantam 54 1 0 24 Jul 2019
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards Yijie Guo Jongwook Choi Marcin Moczulski Shengyu Feng Samy Bengio Mohammad Norouzi Honglak Lee 86 10 0 24 Jul 2019
Efficient Novelty-Driven Neural Architecture Search Miao Zhang Huiqi Li Shirui Pan Taoping Liu Steven W. Su 54 1 0 22 Jul 2019
Potential-Based Advice for Stochastic Policy Learning Baicen Xiao Bhaskar Ramasubramanian Andrew Clark Hannaneh Hajishirzi L. Bushnell Radha Poovendran OffRL 29 5 0 20 Jul 2019
Neural Embedding for Physical Manipulations Lingzhi Zhang Andong Cao Rui Li Jianbo Shi DRL 31 0 0 13 Jul 2019
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies Mirco Mutti Marcello Restelli 41 25 0 10 Jul 2019
Graph Policy Gradients for Large Scale Robot Control Arbaaz Khan Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar 71 93 0 08 Jul 2019
Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization Jae-Woo Choi Sung-eui Yoon AI4CE PINN 59 3 0 06 Jul 2019
Learning a Behavioral Repertoire from Demonstrations Niels Justesen Miguel González Duque Daniel Cabarcas Jaramillo Jean-Baptiste Mouret S. Risi OffRL 31 2 0 05 Jul 2019
Reasoning and Generalization in RL: A Tool Use Perspective Sam Wenke D. Saunders Mike Qiu J. Fleming OffRL LRM 55 5 0 03 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 134 414 0 02 Jul 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 61 5 0 02 Jul 2019
Procedure Planning in Instructional Videos C. Chang De-An Huang Danfei Xu Ehsan Adeli Li Fei-Fei Juan Carlos Niebles 106 103 0 02 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 92 18 0 01 Jul 2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Evan Racah C. Pal SSL 108 2 0 27 Jun 2019
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman 88 41 0 27 Jun 2019
On Multi-Agent Learning in Team Sports Games Yunqi Zhao Igor Borovikov J. Rupert C. Somers Ahmad Beirami 54 14 0 25 Jun 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 83 4 0 25 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 85 197 0 19 Jun 2019
Reward Prediction Error as an Exploration Objective in Deep RL Riley Simmons-Edler Ben Eisner Daniel Yang Anthony Bisulco E. Mitchell Sebastian Seung Daniel D. Lee 69 5 0 19 Jun 2019
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study Cam Linke Nadia M. Ady Martha White T. Degris Adam White 88 16 0 19 Jun 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Tianyi Zhou Jun Wang Kai Xu 162 15 0 17 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 67 11 0 17 Jun 2019
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks Samy Badreddine Michael Spranger OffRL 51 15 0 15 Jun 2019