Intelligent problem-solving as integrated hierarchical reinforcement learning

18 August 2022

Papers citing "Intelligent problem-solving as integrated hierarchical reinforcement learning"

44 / 44 papers shown

Title
Skill Expansion and Composition in Parameter Space Tenglong Liu Junjie Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 125 4 0 09 Feb 2025
AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design Francisco Erivaldo Fernandes Junior Antti Oulasvirta 435 0 0 25 Oct 2024
On the role of planning in model-based deep reinforcement learning Jessica B. Hamrick A. Friesen Feryal M. P. Behbahani A. Guez Fabio Viola Sims Witherspoon Thomas W. Anthony Lars Buesing Petar Velickovic T. Weber OffRL 96 66 0 08 Nov 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 78 86 0 20 Jun 2020
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL Cédric Colas Ahmed Akakzia Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 62 18 0 12 Jun 2020
Curious Hierarchical Actor-Critic Reinforcement Learning Frank Röder Manfred Eppe Phuong D. H. Nguyen S. Wermter 59 21 0 07 May 2020
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces G. Schillaci Antonio Pico Villalpando Verena V. Hafner P. Hanappe David Colliaux T. Wintz 57 27 0 07 Jan 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 142 1,374 0 03 Dec 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 101 413 0 02 Jul 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 84 27 0 26 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 67 225 0 18 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 91 74 0 13 Jun 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning A. H. Qureshi Jacob J. Johnson Yuzhe Qin Taylor Henderson Byron Boots Michael C. Yip OffRL 72 30 0 25 May 2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving Manfred Eppe Phuong D. H. Nguyen S. Wermter 65 42 0 23 May 2019
Model Primitive Hierarchical Lifelong Reinforcement Learning Bohan Wu Jayesh K. Gupta Mykel J. Kochenderfer OffRL 45 10 0 04 Mar 2019
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning Daoming Lyu Fangkai Yang Bo Liu Steven M. Gustafson OffRL 96 152 0 31 Oct 2018
Learning Representations in Model-Free Hierarchical Reinforcement Learning J. Rafati D. Noelle 83 45 0 23 Oct 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 126 957 0 04 Sep 2018
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies Sungryull Sohn Junhyuk Oh Honglak Lee 163 66 0 19 Jul 2018
Hierarchical Reinforcement Learning with Abductive Planning Kazeto Yamamoto Takashi Onishi Yoshimasa Tsuruoka 53 12 0 28 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 771 3,132 0 04 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 102 812 0 21 May 2018
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making Fangkai Yang Daoming Lyu Bo Liu Steven M. Gustafson OffRL 56 136 0 20 Apr 2018
Latent Space Policies for Hierarchical Reinforcement Learning Tuomas Haarnoja Kristian Hartikainen Pieter Abbeel Sergey Levine BDL 81 193 0 09 Apr 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 95 449 0 28 Feb 2018
Computational Theories of Curiosity-Driven Learning Pierre-Yves Oudeyer 75 65 0 28 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 116 1,089 0 16 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,432 0 04 Jan 2018
Meta Learning Shared Hierarchies Kevin Frans Jonathan Ho Xi Chen Pieter Abbeel John Schulman 68 355 0 26 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 141 2,830 0 19 Aug 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 290 2,339 0 05 Jul 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Junhyuk Oh Satinder Singh Honglak Lee Pushmeet Kohli OffRL 155 269 0 15 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 130 2,453 0 15 May 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 98 907 0 03 Mar 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning Marlos C. Machado Marc G. Bellemare Michael Bowling 105 263 0 02 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 270 1,545 0 25 Jan 2017
Learning and Transfer of Modulated Locomotor Controllers N. Heess Greg Wayne Yuval Tassa Timothy Lillicrap Martin Riedmiller David Silver 83 208 0 17 Oct 2016
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer Coline Devin Abhishek Gupta Trevor Darrell Pieter Abbeel Sergey Levine OffRL 84 400 0 22 Sep 2016
Playing FPS Games with Deep Reinforcement Learning Guillaume Lample Devendra Singh Chaplot OffRL EgoV 91 588 0 18 Sep 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 71 1,089 0 16 Sep 2016
Strategic Attentive Writer for Learning Macro-Actions Alexander A. Vezhnevets Volodymyr Mnih J. Agapiou Simon Osindero Alex Graves Oriol Vinyals Koray Kavukcuoglu 59 171 0 15 Jun 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft Chen Tessler Shahar Givony Tom Zahavy D. Mankowitz Shie Mannor CLL 162 381 0 25 Apr 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 82 1,141 0 20 Apr 2016
SHOP2: An HTN Planning System T. Au O. Ilghami U. Kuter J. William Murdock Dana S. Nau D. Wu F. Yaman 131 1,167 0 24 Jun 2011