Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

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

50 / 1,354 papers shown

Title
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks Jiankai Sun De-An Huang Bo Lu Yunhui Liu Bolei Zhou Animesh Garg 76 56 0 10 Sep 2021
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods Bo Zhou Kejiao Li Hongsheng Zeng Fan Wang Hao Tian OffRL 69 1 0 08 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 61 3 0 04 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 112 84 0 01 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 126 123 0 31 Aug 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 108 59 0 31 Aug 2021
Autonomous Curiosity for Real-Time Training Onboard Robotic Agents Ervin Teng Bob Iannucci 60 6 0 29 Aug 2021
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents Ammar Fayad M. Ibrahim 77 5 0 28 Aug 2021
Collect & Infer -- a fresh look at data-efficient Reinforcement Learning Martin Riedmiller Jost Tobias Springenberg Roland Hafner N. Heess OffRL 85 18 0 23 Aug 2021
Toward a `Standard Model' of Machine Learning Zhiting Hu Eric Xing 106 12 0 17 Aug 2021
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning Willie McClinton Andrew Levy George Konidaris 42 5 0 12 Aug 2021
Reimagining an autonomous vehicle Jeffrey Hawke E. Haibo Vijay Badrinarayanan Alex Kendall 77 12 0 12 Aug 2021
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning Aebel Joe Shibu S. Sadhana N. Shilpa Pratyush Kumar AAML 45 6 0 09 Aug 2021
OHPL: One-shot Hand-eye Policy Learner Changjae Oh Yik Lung Pang Andrea Cavallaro 47 0 0 06 Aug 2021
Policy Gradients Incorporating the Future David Venuto Elaine Lau Doina Precup Ofir Nachum OffRL 108 9 0 04 Aug 2021
Learning Task Agnostic Skills with Data-driven Guidance E. Klemsdal Sverre Herland Abdulmajid Murad 49 1 0 04 Aug 2021
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning R. Loftin Aadirupa Saha Sam Devlin Katja Hofmann 64 5 0 30 Jul 2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library Jiayi Weng Huayu Chen Dong Yan Kaichao You Alexis Duburcq Minghao Zhang Yi Su Hang Su Jun Zhu NoLa OffRL 122 204 0 29 Jul 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 64 48 0 27 Jul 2021
Predicting Game Engagement and Difficulty Using AI Players Shaghayegh Roohi Christian Guckelsberger Asko Relas Henri Heiskanen Jari Takatalo Perttu Hämäläinen 56 15 0 26 Jul 2021
Playtesting: What is Beyond Personas Sinan Ariyurek Elif Surer Aysu Betin Can 30 5 0 26 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh Alex Schwing 113 104 0 23 Jul 2021
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration Lukas Schafer Filippos Christianos Josiah P. Hanna Stefano V. Albrecht 92 23 0 19 Jul 2021
Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning Mingqi Yuan Mon-on Pun Dong Wang Yi Chen Haojun Li 61 7 0 19 Jul 2021
Pre-trained Language Models as Prior Knowledge for Playing Text-based Games Ishika Singh Gargi Singh Ashutosh Modi OffRL AI4CE 105 29 0 18 Jul 2021
Unsupervised Skill-Discovery and Skill-Learning in Minecraft J. J. Nieto Roger Creus Xavier Giró-i-Nieto SSL DRL 71 4 0 18 Jul 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second Aleksei Petrenko Erik Wijmans Brennan Shacklett V. Koltun LM&Ro VGen 88 24 0 17 Jul 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning Kevin Wenliang Li Abhishek Gupta Ashwin Reddy Vitchyr H. Pong Aurick Zhou Justin Yu Sergey Levine UQCV 73 31 0 15 Jul 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn Sungtae Lee Jongwook Choi H. V. Seijen Mehdi Fatemi Honglak Lee 321 5 0 13 Jul 2021
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation Pierre Marza L. Matignon Olivier Simonin Christian Wolf 123 24 0 13 Jul 2021
Explore and Control with Adversarial Surprise Arnaud Fickinger Natasha Jaques Samyak Parajuli Michael Chang Nicholas Rhinehart Glen Berseth Stuart J. Russell Sergey Levine 75 8 0 12 Jul 2021
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang Kuangqi Zhou Qixin Zhang Jie Shao Bryan Hooi Jiashi Feng 93 22 0 12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 92 17 0 10 Jul 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang Minghao Zhang Nicklas Hansen Huazhe Xu Xiaolong Wang OffRL 101 108 0 08 Jul 2021
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation Yaowen Yao Li Xiao Zhicheng An Wanpeng Zhang Dijun Luo 103 21 0 05 Jul 2021
The Least Restriction for Offline Reinforcement Learning Zizhou Su OffRL 16 0 0 05 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM 92 6 0 02 Jul 2021
MHER: Model-based Hindsight Experience Replay Rui Yang Meng Fang Lei Han Yali Du Feng Luo Xiu Li OffRL 95 17 0 01 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 118 69 0 29 Jun 2021
Curious Explorer: a provable exploration strategy in Policy Learning M. Miani Maurizio Parton M. Romito 131 0 0 29 Jun 2021
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects Ruihai Wu Yan Zhao Kaichun Mo Zizheng Guo Yian Wang Tianhao Wu Qingnan Fan Xuelin Chen Leonidas Guibas Hao Dong 126 94 0 28 Jun 2021
Multi-Agent Curricula and Emergent Implicit Signaling Niko A. Grupen Daniel D. Lee B. Selman 113 6 0 21 Jun 2021
MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 100 44 0 18 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 139 65 0 17 Jun 2021
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model Chongkai Gao Haichuan Gao Shangqi Guo Tianren Zhang Feng Chen 86 27 0 17 Jun 2021
Learning from Demonstration without Demonstrations Tom Blau Gilad Francis Philippe Morere OffRL 54 1 0 17 Jun 2021
Automatic Curricula via Expert Demonstrations Siyu Dai Andreas G. Hofmann B. Williams 65 6 0 16 Jun 2021
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning A. Abdolmaleki Sandy H. Huang Giulia Vezzani Bobak Shahriari Jost Tobias Springenberg ... András Gyorgy Csaba Szepesvári R. Hadsell N. Heess Martin Riedmiller OffRL 65 5 0 15 Jun 2021
Unsupervised Learning of Visual 3D Keypoints for Control Boyuan Chen Pieter Abbeel Deepak Pathak 3DPC SSL 92 40 0 14 Jun 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? Kate Rakelly Abhishek Gupta Carlos Florensa Sergey Levine SSL 77 39 0 14 Jun 2021