Deep Reinforcement Learning With Macro-Actions

Deep Reinforcement Learning With Macro-Actions

15 June 2016

Clemens Rosenbaum

Sridhar Mahadevan

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Papers citing "Deep Reinforcement Learning With Macro-Actions"

14 / 14 papers shown

Title
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization Jian-Ting Guo Yu-Cheng Chen Ping-Chun Hsieh Kuo-Hao Ho Po-Wei Huang Ti-Rong Wu I-Chen Wu 76 0 0 19 Nov 2025
Reinforcement Learning with Action Chunking Qiyang Li Zhiyuan Zhou Sergey Levine OffRL OnRL 328 19 0 10 Jul 2025
OptionZero: Planning with Learned OptionsInternational Conference on Learning Representations (ICLR), 2025 Po-Wei Huang Pei-Chiun Peng Hung Guei Tai-Lin Wu 473 2 0 23 Feb 2025
Action abstractions for amortized samplingInternational Conference on Learning Representations (ICLR), 2024 Oussama Boussif Léna Néhale Ezzine J. Viviano Michał Koziarski Moksh Jain Nikolay Malkin Emmanuel Bengio Rim Assouel Yoshua Bengio 158 2 0 19 Oct 2024
Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov ModelIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Yuán Chen Ruosong Ye Ziyang Tao Hongjian Liu Guangda Chen Jie Peng Jun Ma Yu Zhang Jianmin Ji Yanyong Zhang 278 0 0 13 Aug 2021
DRL: Deep Reinforcement Learning for Intelligent Robot Control -- Concept, Literature, and Future Aras R. Dargazany 73 6 0 20 Apr 2021
Addressing Action Oscillations through Learning Policy InertiaAAAI Conference on Artificial Intelligence (AAAI), 2021 Chong Chen Hongyao Tang Jianye Hao Wulong Liu Zhaopeng Meng 108 22 0 03 Mar 2021
An Analysis of Frame-skipping in Reinforcement Learning Shivaram Kalyanakrishnan Siddharth Aravindan Vishwajeet Bagdawat Varun Bhatt Harshith Goka Archit Gupta Kalpesh Krishna Vihari Piratla 175 25 0 07 Feb 2021
Augmenting Policy Learning with Routines Discovered from a Single DemonstrationAAAI Conference on Artificial Intelligence (AAAI), 2020 Zelin Zhao Chuang Gan Jiajun Wu Xiaoxiao Guo J. Tenenbaum OffRL 251 5 0 23 Dec 2020
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder Heecheol Kim Masanori Yamada Kosuke Miyoshi Hiroshi Yamakawa DRL 114 6 0 22 Mar 2019
FAVAE: Sequence Disentanglement using Information Bottleneck Principle Masanori Yamada Heecheol Kim Kosuke Miyoshi Hiroshi Yamakawa CML DRL CoGe 101 6 0 22 Feb 2019
Deictic Image Maps: An Abstraction For Learning Pose Invariant Manipulation PoliciesAAAI Conference on Artificial Intelligence (AAAI), 2018 Robert Platt Colin Kohler Marcus Gualtieri 191 11 0 26 Jun 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 122 54 0 11 May 2018
Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning Liang Xiao Dongjin Xu Donghua Jiang Hongzi Zhu Yanyong Zhang H. V. Poor 98 102 0 19 Dec 2017