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1704.03012
Cited By
Stochastic Neural Networks for Hierarchical Reinforcement Learning
10 April 2017
Carlos Florensa
Yan Duan
Pieter Abbeel
BDL
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Papers citing
"Stochastic Neural Networks for Hierarchical Reinforcement Learning"
50 / 221 papers shown
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285
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AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
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Jaemoon Lee
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SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
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Romit Maulik
428
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21 Feb 2025
Measuring Diversity of Game Scenarios
IEEE Transactions on Games (IEEE Trans. Games), 2024
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Ziqi Wang
Qingquan Zhang
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376
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17 Jan 2025
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
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Leopoldo Sarra
290
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31 Oct 2024
Identifying Selections for Unsupervised Subtask Discovery
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Yiwen Qiu
Yujia Zheng
Kun Zhang
218
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28 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
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Kevin Frans
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A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
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Dana Kulic
Michael Burke
358
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18 Oct 2024
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
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Gao Liu
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Jingren Zhou
250
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How to Choose a Reinforcement-Learning Algorithm
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Vladimir Golkov
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Luca Della Libera
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Daniel Cremers
216
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Elia Piccoli
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Davide Bacciu
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158
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Exploring the limits of Hierarchical World Models in Reinforcement Learning
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Laurenz Wiskott
245
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MeMo: Meaningful, Modular Controllers via Noise Injection
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Jie Xu
Armando Solar-Lezama
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293
1
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24 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
Lisheng Wu
Ke Chen
194
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19 Apr 2024
Hierarchical Decision Making Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Dingli Su
Angsheng Li
289
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15 Apr 2024
ALaRM: Align Language Models via Hierarchical Rewards Modeling
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Yuhang Lai
Siyuan Wang
Shujun Liu
Xuanjing Huang
Zhongyu Wei
283
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11 Mar 2024
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Christian J. Darken
122
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Learning Diverse Policies with Soft Self-Generated Guidance
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Faguo Wu
Xiao Zhang
Jianxiang Liu
OffRL
169
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Guojian Wang
Faguo Wu
Xiao Zhang
Tianyuan Chen
Zhiming Zheng
365
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Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
Guojian Wang
Faguo Wu
Xiao Zhang
Ning Guo
Zhiming Zheng
257
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27 Dec 2023
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Neural Information Processing Systems (NeurIPS), 2023
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Andy Shih
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234
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METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
International Conference on Learning Representations (ICLR), 2023
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
388
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13 Oct 2023
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models
International Conference on Machine Learning (ICML), 2023
Paul Mattes
Rainer Schlosser
R. Herbrich
349
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08 Oct 2023
Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Haoran Wang
Zeshen Tang
Leya Yang
Yaoru Sun
Fang Wang
Siyu Zhang
Ye-Ting Chen
306
3
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24 Sep 2023
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing
Industrial Conference on Data Mining (IDM), 2023
Wangyang Ying
Dongjie Wang
Kunpeng Liu
Leilei Sun
Yanjie Fu
238
31
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08 Sep 2023
Dyadic Reinforcement Learning
Shuangning Li
L. Niell
S. Choi
Inbal Nahum-Shani
Guy Shani
Susan Murphy
OffRL
212
2
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15 Aug 2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
International Conference on Neural Information Processing (ICONIP), 2023
Haorui Li
Jiaqi Liang
Linjing Li
D. Zeng
95
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0
02 Aug 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning
Andrew Levy
Sreehari Rammohan
A. Allievi
S. Niekum
George Konidaris
248
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NetHack is Hard to Hack
Neural Information Processing Systems (NeurIPS), 2023
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Lerrel Pinto
Rob Fergus
259
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30 May 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Jiayu Chen
Dipesh Tamboli
Tian-Shing Lan
Vaneet Aggarwal
211
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22 May 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
International Conference on Machine Learning (ICML), 2023
Rushuai Yang
Chenjia Bai
Hongyi Guo
Siyuan Li
Bin Zhao
Zhen Wang
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Xuelong Li
SSL
247
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Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
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Yongkang Luo
Wanyi Li
Peng Wang
Haonan Duan
Wei Wei
Jia sun
184
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19 Apr 2023
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
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438
103
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22 Feb 2023
CERiL: Continuous Event-based Reinforcement Learning
British Machine Vision Conference (BMVC), 2023
Celyn Walters
Simon Hadfield
OffRL
154
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15 Feb 2023
PushWorld: A benchmark for manipulation planning with tools and movable obstacles
Ken Kansky
Skanda Vaidyanath
Scott Swingle
Xinghua Lou
Miguel Lazaro-Gredilla
Dileep George
338
4
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24 Jan 2023
Centralized Cooperative Exploration Policy for Continuous Control Tasks
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Chong Li
Chen Gong
Qiang He
Xinwen Hou
Yu Liu
237
1
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06 Jan 2023
SHIRO: Soft Hierarchical Reinforcement Learning
Kandai Watanabe
Mathew Strong
Omer Eldar
161
1
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24 Dec 2022
Reusable Options through Gradient-based Meta Learning
David Kuric
H. V. Hoof
259
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22 Dec 2022
Learning Options via Compression
Neural Information Processing Systems (NeurIPS), 2022
Yiding Jiang
Emmy Liu
Benjamin Eysenbach
Zico Kolter
Chelsea Finn
OffRL
279
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08 Dec 2022
Assistive Teaching of Motor Control Tasks to Humans
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Megha Srivastava
Erdem Biyik
Suvir Mirchandani
Noah D. Goodman
Dorsa Sadigh
207
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SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
Giulia Vezzani
Dhruva Tirumala
Markus Wulfmeier
Dushyant Rao
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Thomas Lampe
Fereshteh Sadeghi
N. Heess
Martin Riedmiller
OffRL
300
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Planning Irregular Object Packing via Hierarchical Reinforcement Learning
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Sichao Huang
Ziwei Wang
Jie Zhou
Jiwen Lu
160
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Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Peng Zhang
Yawen Huang
Bingzhang Hu
Shizheng Wang
Haoran Duan
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Yang Long
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164
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Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning
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Lisheng Wu
Ke Chen
354
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Ademi Adeniji
Amber Xie
Pieter Abbeel
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295
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Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
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Xin Hu
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Jiaming Guo
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Ling Li
Qi Guo
Yunji Chen
181
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ASPiRe:Adaptive Skill Priors for Reinforcement Learning
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Mengda Xu
Manuela Veloso
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192
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261
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