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
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems Mayalen Etcheverry Clément Moulin-Frier Pierre-Yves Oudeyer 67 24 0 02 Jul 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 78 26 0 01 Jul 2020
Regularly Updated Deterministic Policy Gradient Algorithm Shuai Han Wenbo Zhou Shuai Lu Jiayu Yu 25 22 0 01 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 135 49 0 30 Jun 2020
Extracting Latent State Representations with Linear Dynamics from Rich Observations Abraham Frandsen Rong Ge 30 2 0 29 Jun 2020
Empirically Verifying Hypotheses Using Reinforcement Learning Kenneth Marino Rob Fergus Arthur Szlam Abhinav Gupta OffRL 42 1 0 29 Jun 2020
Intrinsic Reward Driven Imitation Learning via Generative Model Xingrui Yu Yueming Lyu Ivor W. Tsang 45 55 0 26 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 131 9 0 26 Jun 2020
The NetHack Learning Environment Heinrich Küttler Nantas Nardelli Alexander H. Miller Roberta Raileanu Marco Selvatici Edward Grefenstette Tim Rocktaschel 128 181 0 24 Jun 2020
Show me the Way: Intrinsic Motivation from Demonstrations Léonard Hussenot Robert Dadashi Matthieu Geist Olivier Pietquin 76 9 0 23 Jun 2020
Ecological Reinforcement Learning John D. Co-Reyes Suvansh Sanjeev Glen Berseth Abhishek Gupta Sergey Levine OffRL 107 23 0 22 Jun 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 93 119 0 22 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 114 127 0 22 Jun 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation Ruosong Wang S. Du Lin F. Yang Ruslan Salakhutdinov OffRL 85 107 0 19 Jun 2020
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration Shuai Han Wenbo Zhou Jing Liu Shuai Lu 48 28 0 19 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 224 227 0 18 Jun 2020
Semantic Curiosity for Active Visual Learning Devendra Singh Chaplot Helen Jiang Saurabh Gupta Abhinav Gupta ObjD 69 72 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 79 52 0 16 Jun 2020
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration Jin Zhang Jianhao Wang Hao Hu Tong Chen Yingfeng Chen Changjie Fan Chongjie Zhang OffRL 67 27 0 15 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 81 19 0 14 Jun 2020
Learning to Play by Imitating Humans R. Dinyari P. Sermanet Corey Lynch SSL OffRL 51 5 0 11 Jun 2020
Exploration by Maximizing Rényi Entropy for Reward-Free RL Framework Wei Shen Yuanying Cai Longbo Huang Jian Li OffRL 80 1 0 11 Jun 2020
Hybrid Control for Learning Motor Skills Ian Abraham Alexander Broad Allison Pinosky B. Argall Todd Murphey 59 1 0 05 Jun 2020
From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning Zachary Wojtowicz Simon DeDeo FAtt 123 31 0 03 Jun 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 84 34 0 02 Jun 2020
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration Seungyul Han Y. Sung 45 26 0 02 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 147 26 0 01 Jun 2020
Towards intervention-centric causal reasoning in learning agents B. Lansdell LRM CML 21 0 0 26 May 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 82 32 0 26 May 2020
Neural Topological SLAM for Visual Navigation Devendra Singh Chaplot Ruslan Salakhutdinov Abhinav Gupta Saurabh Gupta 128 297 0 25 May 2020
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce Jianxiong Wei Anxiang Zeng Yueqiu Wu P. Guo Q. Hua Qingpeng Cai OffRL 74 9 0 25 May 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 99 11 0 25 May 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 72 1 0 21 May 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 138 13 0 21 May 2020
Progressive growing of self-organized hierarchical representations for exploration Mayalen Etcheverry Pierre-Yves Oudeyer Chris Reinke 54 0 0 13 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 132 413 0 12 May 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 85 15 0 11 May 2020
Curious Hierarchical Actor-Critic Reinforcement Learning Frank Röder Manfred Eppe Phuong D. H. Nguyen S. Wermter 64 21 0 07 May 2020
Exploring Exploration: Comparing Children with RL Agents in Unified Environments Eliza Kosoy Jasmine Collins David M. Chan Sandy Huang Deepak Pathak Pulkit Agrawal John F. Canny Alison Gopnik Jessica B. Hamrick 51 16 0 06 May 2020
Improving Adversarial Text Generation by Modeling the Distant Future Ruiyi Zhang Changyou Chen Zhe Gan Wenlin Wang Dinghan Shen Guoyin Wang Zheng Wen Lawrence Carin 71 12 0 04 May 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 192 143 0 30 Apr 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning Archit Sharma Michael Ahn Sergey Levine Vikash Kumar Karol Hausman S. Gu SSL OffRL 54 47 0 27 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations Jun Zhang Yao-Kun Lei Zhen Zhang Junhan Chang Maodong Li Xu Han Lijiang Yang Yue Yang Y. Gao AI4CE 119 8 0 25 Apr 2020
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning Guillaume Matheron Nicolas Perrin Olivier Sigaud 58 19 0 24 Apr 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration Aidan Curtis Minjian Xin Dilip Arumugam Kevin T. Feigelis Daniel L. K. Yamins 36 6 0 22 Apr 2020
Policy Gradient from Demonstration and Curiosity Jie Chen Wenjun Xu 132 12 0 22 Apr 2020
Real World Games Look Like Spinning Tops Wojciech M. Czarnecki Gauthier Gidel Brendan D. Tracey K. Tuyls Shayegan Omidshafiei David Balduzzi Max Jaderberg 82 101 0 20 Apr 2020
Whence the Expected Free Energy? Beren Millidge Alexander Tschantz Christopher L. Buckley 76 70 0 17 Apr 2020
Show Us the Way: Learning to Manage Dialog from Demonstrations Gabriel Gordon-Hall P. Gorinski Gerasimos Lampouras Ignacio Iacobacci OffRL 111 11 0 17 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 67 128 0 16 Apr 2020