Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically
Motivated Exploration

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Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration

18 March 2019

Joschka Boedecker

Wolfram Burgard

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Papers citing "Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration"

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Title
World Models with Hints of Large Language Models for Goal Achieving Zeyuan Liu Ziyu Huan Xiyao Wang Jiafei Lyu Jian Tao Xiu Li Furong Huang Huazhe Xu LM&Ro LRM AI4CE 231 5 0 11 Jun 2024
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark GraphsIEEE International Joint Conference on Neural Network (IJCNN), 2023 Qingyang Zhang Yiming Yang Jingqing Ruan Xuantang Xiong Dengpeng Xing Bo Xu 144 4 0 22 Jul 2023
Modelling non-reinforced preferences using selective attention Noor Sajid P. Tigas Zafeirios Fountas Qinghai Guo Alexey Zakharov Lancelot Da Costa 131 1 0 25 Jul 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual ScenesIEEE Transactions on Games (IEEE Trans. Games), 2022 Zheng Fang Biao Zhao Guizhong Liu 214 5 0 19 May 2022
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning Christopher Hoang Sungryull Sohn Jongwook Choi Wilka Carvalho Honglak Lee 146 38 0 18 Nov 2021
Learning What to Memorize: Using Intrinsic Motivation to Form Useful Memory in Partially Observable Reinforcement Learning Alper Demir 212 4 0 25 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Zhenxing Ge Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 239 144 0 14 Sep 2021
MADE: Exploration via Maximizing Deviation from Explored RegionsNeural Information Processing Systems (NeurIPS), 2021 Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 172 47 0 18 Jun 2021
Don't Do What Doesn't Matter: Intrinsic Motivation with Action UsefulnessInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Mathieu Seurin Florian Strub Philippe Preux Olivier Pietquin 112 9 0 20 May 2021
Co-Imitation Learning without Expert Demonstration Hai-Jian Ke Hu Xu Kun Zhu Sheng-Jun Huang OffRL 142 4 0 27 Mar 2021
Delayed Rewards Calibration via Reward Empirical Sufficiency Yixuan Liu Hu Wang Xiaowei Wang Xiaoyue Sun Liuyue Jiang Minhui Xue 132 0 0 21 Feb 2021
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 160 43 0 15 Dec 2020
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Chenjia Bai Peng Liu Kaiyu Liu Zhaoran Wang Yingnan Zhao Lingxiao Wang SSL 179 21 0 17 Oct 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 232 134 0 22 Jun 2020
Scaling MAP-Elites to Deep NeuroevolutionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2020 Cédric Colas Joost Huizinga Vashisht Madhavan Jeff Clune 225 94 0 03 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated EnvironmentsInternational Conference on Learning Representations (ICLR), 2020 Roberta Raileanu Tim Rocktaschel 191 191 0 27 Feb 2020
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 307 156 0 19 Aug 2019