Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

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

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Title
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach Wenqi Zhang Kai Zhao Peng Li Xiaochun Zhu Faping Ye Wei Jiang Huiqiao Fu Tao Wang 63 8 0 16 Nov 2021
Free Will Belief as a consequence of Model-based Reinforcement Learning E. Rehn 3DV 55 1 0 14 Nov 2021
CubeTR: Learning to Solve The Rubiks Cube Using Transformers Mustafa Chasmai ViT 67 1 0 11 Nov 2021
Automatic Goal Generation using Dynamical Distance Learning Bharat Prakash Nicholas R. Waytowich T. Mohsenin Tim Oates 46 2 0 07 Nov 2021
Development of collective behavior in newborn artificial agents Donsuk Lee Samantha M. W. Wood Justin N. Wood 56 2 0 06 Nov 2021
Learning to Explore by Reinforcement over High-Level Options Juncheng Liu B. McCane S. Mills EgoV 39 1 0 02 Nov 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 90 140 0 28 Oct 2021
Play to Grade: Testing Coding Games as Classifying Markov Decision Process Allen Nie Emma Brunskill Chris Piech 84 11 0 27 Oct 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny Jean Tarbouriech Sylvain Lamprier A. Lazaric Ludovic Denoyer SSL 116 18 0 27 Oct 2021
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 79 48 0 27 Oct 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 127 62 0 26 Oct 2021
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator Sirui Chen Yunhao Liu Jialong Li Shang Wen Yao Tingxiang Fan Jia Pan AI4CE 74 10 0 24 Oct 2021
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction A. Ahmad Shuo Cheng D. Saraswat Aly El Gamal Wenjie Wang Gurmukh Johal OffRL OnRL 53 1 0 22 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 324 956 0 21 Oct 2021
Anti-Concentrated Confidence Bonuses for Scalable Exploration Jordan T. Ash Cyril Zhang Surbhi Goel A. Krishnamurthy Sham Kakade 99 7 0 21 Oct 2021
Can Q-learning solve Multi Armed Bantids? R. Vivanti OffRL 33 0 0 21 Oct 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration Chenjia Bai Lingxiao Wang Lei Han Animesh Garg Jianye Hao Peng Liu Zhaoran Wang 72 30 0 20 Oct 2021
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences Toby Johnstone Nathan Grinsztajn Johan Ferret Philippe Preux 60 0 0 20 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 101 127 0 18 Oct 2021
Provable RL with Exogenous Distractors via Multistep Inverse Dynamics Yonathan Efroni Dipendra Kumar Misra A. Krishnamurthy Alekh Agarwal John Langford OffRL 87 23 0 17 Oct 2021
Shaping embodied agent behavior with activity-context priors from egocentric video Tushar Nagarajan Kristen Grauman EgoV LM&Ro 137 15 0 14 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 114 27 0 13 Oct 2021
OPEn: An Open-ended Physics Environment for Learning Without a Task Chuang Gan Abhishek Bhandwaldar Antonio Torralba J. Tenenbaum Phillip Isola LRM 207 4 0 13 Oct 2021
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture Chinmay Vilas Samak Tanmay Vilas Samak Sivanathan Kandhasamy 68 6 0 11 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 82 14 0 10 Oct 2021
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany Huihan Liu Yuke Zhu 164 112 0 07 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 85 5 0 06 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 118 35 0 06 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 72 15 0 05 Oct 2021
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 127 35 0 05 Oct 2021
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation Soojung Yang Doyeong Hwang Seul Lee Seongok Ryu Sung Ju Hwang 136 73 0 04 Oct 2021
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances Dieqiao Feng Carla P. Gomes B. Selman ODL 108 19 0 03 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning Elie Aljalbout Maximilian Ulmer Rudolph Triebel 76 2 0 02 Oct 2021
Learning Periodic Tasks from Human Demonstrations Jingyun Yang Junwu Zhang Connor Settle Akshara Rai Rika Antonova Jeannette Bohg 155 25 0 28 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 138 60 0 28 Sep 2021
Exploratory State Representation Learning Astrid Merckling Nicolas Perrin-Gilbert Alexandre Coninx Stéphane Doncieux OffRL 81 6 0 28 Sep 2021
Making Curiosity Explicit in Vision-based RL Elie Aljalbout Maximilian Ulmer Rudolph Triebel OffRL 63 2 0 28 Sep 2021
Exploring More When It Needs in Deep Reinforcement Learning Youtian Guo Qitong Gao 33 0 0 28 Sep 2021
Hierarchies of Planning and Reinforcement Learning for Robot Navigation J. Wöhlke Felix Schmitt H. V. Hoof 50 25 0 23 Sep 2021
On Bonus-Based Exploration Methods in the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 59 61 0 22 Sep 2021
Active inference, Bayesian optimal design, and expected utility Noor Sajid Lancelot Da Costa Thomas Parr Karl J. Friston 68 16 0 21 Sep 2021
Long-Term Exploration in Persistent MDPs L. Ugadiarov Alexey Skrynnik Aleksandr I. Panov 72 2 0 21 Sep 2021
AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning Hadi Alzayer Hubert Lin Kavita Bala 90 8 0 21 Sep 2021
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures Chapman Siu Jason M. Traish R. Xu OffRL 35 0 0 19 Sep 2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards Deyu Yang Hanbo Zhang Xuguang Lan Jishiyu Ding OffRL 85 2 0 18 Sep 2021
Learning Latent Actions without Human Demonstrations Shaunak A. Mehta Sagar Parekh Dylan P. Losey SSL 60 8 0 18 Sep 2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration Oliver Groth Markus Wulfmeier Giulia Vezzani Vibhavari Dasagi Tim Hertweck Roland Hafner N. Heess Martin Riedmiller LRM 86 20 0 17 Sep 2021
What Does The User Want? Information Gain for Hierarchical Dialogue Policy Optimisation Christian Geishauser Songbo Hu Hsien-Chin Lin Nurul Lubis Michael Heck Shutong Feng Carel van Niekerk Milica Gavsić OffRL 75 3 0 15 Sep 2021
Focus on Impact: Indoor Exploration with Intrinsic Motivation Roberto Bigazzi Federico Landi S. Cascianelli Lorenzo Baraldi Marcella Cornia Rita Cucchiara OffRL 87 14 0 14 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 86 103 0 14 Sep 2021