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
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning Natasha Jaques Angeliki Lazaridou Edward Hughes Çağlar Gülçehre Pedro A. Ortega D. Strouse Joel Z Leibo Nando de Freitas 114 57 0 19 Oct 2018
At Human Speed: Deep Reinforcement Learning with Action Delay Vlad Firoiu Tina Ju J. Tenenbaum 64 38 0 16 Oct 2018
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning David Janz Jiri Hron Przemysław Mazur Katja Hofmann José Miguel Hernández-Lobato Sebastian Tschiatschek 163 52 0 15 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 2018
Empowerment-driven Exploration using Mutual Information Estimation Navneet Kumar 40 8 0 11 Oct 2018
The Laplacian in RL: Learning Representations with Efficient Approximations Yifan Wu George Tucker Ofir Nachum OffRL 66 87 0 10 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 57 4 0 06 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 114 271 0 04 Oct 2018
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction Alban Laflaquière Michael Garcia Ortiz 36 3 0 02 Oct 2018
EMI: Exploration with Mutual Information Hyoungseok Kim Jaekyeom Kim Yeonwoo Jeong Sergey Levine Hyun Oh Song 46 5 0 02 Oct 2018
Interactive Agent Modeling by Learning to Probe Tianmin Shu Caiming Xiong Ying Nian Wu Song-Chun Zhu LM&Ro 53 2 0 01 Oct 2018
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning Gino Brunner Manuel Fritsche Oliver Richter Roger Wattenhofer 56 7 0 30 Sep 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat OffRL 95 35 0 25 Sep 2018
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment Xin Ye Zhe Lin Joon-Young Lee Jianming Zhang Shibin Zheng Yezhou Yang 64 20 0 21 Sep 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning Izumi Karino Kazutoshi Tanaka Ryuma Niiyama Yasuo Kuniyoshi 35 3 0 18 Sep 2018
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 58 119 0 10 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge Michal Garmulewicz Henryk Michalewski Piotr Milos 78 8 0 10 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 96 822 0 07 Sep 2018
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark Akshat Agarwal Ryan Hope Katia Sycara OffRL 34 9 0 06 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay Sameera Lanka Tianfu Wu 66 30 0 06 Sep 2018
Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks Felix Leibfried Peter Vrancx OffRL 72 7 0 06 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 158 960 0 04 Sep 2018
Gibson Env: Real-World Perception for Embodied Agents F. Xia Amir Zamir Zhi-Yang He Alexander Sax Jitendra Malik Silvio Savarese AI4CE LM&Ro 102 830 0 31 Aug 2018
Approximate Exploration through State Abstraction Adrien Ali Taïga Aaron Courville Marc G. Bellemare 71 13 0 29 Aug 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 110 72 0 14 Aug 2018
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 95 707 0 13 Aug 2018
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN Dror Freirich Ron Meir Aviv Tamar OffRL 49 13 0 06 Aug 2018
The Text-Based Adventure AI Competition Timothy Atkinson Hendrik Baier Tara Copplestone Sam Devlin J. Swan 46 23 0 03 Aug 2018
Sidekick Policy Learning for Active Visual Exploration Santhosh Kumar Ramakrishnan Kristen Grauman 142 29 0 29 Jul 2018
Variational Option Discovery Algorithms Joshua Achiam Harrison Edwards Dario Amodei Pieter Abbeel DRL 81 180 0 26 Jul 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat Anssi Kanervisto Ville Hautamaki 62 2 0 26 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 114 544 0 12 Jul 2018
Video Summarisation by Classification with Deep Reinforcement Learning Kaiyang Zhou Tao Xiang Andrea Cavallaro OffRL 72 36 0 09 Jul 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing Chen Liang Mohammad Norouzi Jonathan Berant Quoc V. Le Ni Lao 134 134 0 06 Jul 2018
Goal-oriented Trajectories for Efficient Exploration Fabio Pardo Vitaly Levdik Petar Kormushev 33 2 0 05 Jul 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 138 435 0 04 Jul 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 81 88 0 04 Jul 2018
Adversarial Active Exploration for Inverse Dynamics Model Learning Zhang-Wei Hong Tsu-Jui Fu Tzu-Yun Shann Yi-Hsiang Chang Chun-Yi Lee 33 6 0 26 Jun 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 72 19 0 25 Jun 2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning Ildefons Magrans de Abril Ryota Kanai 76 20 0 18 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 138 107 0 12 Jun 2018
Self-supervisory Signals for Object Discovery and Detection Etienne Pot Alexander Toshev Jana Kosecka ObjD 54 9 0 08 Jun 2018
Boredom-driven curious learning by Homeo-Heterostatic Value Gradients Yen Yu A. Chang Ryota Kanai 37 9 0 05 Jun 2018
DAQN: Deep Auto-encoder and Q-Network Daiki Kimura 58 18 0 02 Jun 2018
Internal Model from Observations for Reward Shaping Daiki Kimura Subhajit Chaudhury Ryuki Tachibana Sakyasingha Dasgupta 106 22 0 02 Jun 2018
Being curious about the answers to questions: novelty search with learned attention N. Guttenberg Martin Biehl N. Virgo Ryota Kanai 51 0 0 01 Jun 2018
Playing hard exploration games by watching YouTube Y. Aytar Tobias Pfaff David Budden T. Paine Ziyun Wang Nando de Freitas 98 271 0 29 May 2018
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards Daniel J. McDuff Ashish Kapoor OOD 19 8 0 25 May 2018
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients Arbaaz Khan Clark Zhang Daniel D. Lee Vijay Kumar Alejandro Ribeiro 64 30 0 22 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning Shauharda Khadka Kagan Tumer 132 232 0 21 May 2018