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Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning

International Conference on Machine Learning (ICML), 2020

27 February 2020

Papers citing "Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning"

21 / 21 papers shown

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Cascaded Diffusion Models for Neural Motion PlanningIEEE International Conference on Robotics and Automation (ICRA), 2025 Mohit Sharma Adam Fishman Vikash Kumar Chris Paxton Oliver Kroemer 129 1 0 21 May 2025
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning Hongjoon Ahn Heewoong Choi Jisu Han Taesup Moon OffRL 194 0 0 19 May 2025
DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents Shashank Sharma Janina Hoffmann Vinay P. Namboodiri 308 0 0 04 Feb 2025
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints Kazumi Kasaura 274 0 0 02 Jul 2024
Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies Yu-Juan Luo Fuchun Sun Tianying Ji Xianyuan Zhan 106 0 0 26 Jun 2024
BAKU: An Efficient Transformer for Multi-Task Policy Learning Siddhant Haldar Zhuoran Peng Lerrel Pinto OffRL 266 73 0 11 Jun 2024
Solving Sequential Manipulation Puzzles by Finding Easier SubproblemsIEEE International Conference on Robotics and Automation (ICRA), 2024 Svetlana Levit Joaquim Ortiz de Haro Marc Toussaint 159 5 0 03 May 2024
Learning Top-k Subtask Planning Tree based on Discriminative Representation Pre-training for Decision Making Jingqing Ruan Kaishen Wang Qingyang Zhang Dengpeng Xing Bo Xu 165 0 0 18 Dec 2023
Hybrid Search for Efficient Planning with Completeness Guarantees Kalle Kujanpää Joni Pajarinen Alexander Ilin 160 5 0 19 Oct 2023
Goal-Conditioned Supervised Learning with Sub-Goal Prediction Tom Jurgenson Aviv Tamar 202 1 0 17 May 2023
Goal-conditioned Offline Reinforcement Learning through State Space PartitioningMachine-mediated learning (ML), 2023 Mianchu Wang Yue Jin Giovanni Montana OffRL 72 4 0 16 Mar 2023
Hierarchical Imitation Learning with Vector Quantized ModelsInternational Conference on Machine Learning (ICML), 2023 Kalle Kujanpää Joni Pajarinen Alexander Ilin 174 13 0 30 Jan 2023
RT-1: Robotics Transformer for Real-World Control at Scale Anthony Brohan Noah Brown Justice Carbajal Yevgen Chebotar Joseph Dabis ... Ted Xiao Peng Xu Sichun Xu Tianhe Yu Brianna Zitkovich LM&Ro 359 1,538 0 13 Dec 2022
Multi-Task Option Learning and Discovery for Stochastic Path Planning Naman Shah Siddharth Srivastava 167 2 0 30 Sep 2022
Hierarchical Decision TransformerIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 André Rosa de Sousa Porfírio Correia L. A. Alexandre OffRL 205 14 0 21 Sep 2022
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement LearningInternational Conference on Automation and Computing (ICAC), 2022 Xintong Yang Ze Ji Jing Wu Yunyu Lai OffRL 82 7 0 19 Jul 2022
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal SearchInternational Conference on Learning Representations (ICLR), 2022 Michał Zawalski Michał Tyrolski K. Czechowski Tomasz Odrzygó'zd'z Damian Stachura Piotr Pikekos Yuhuai Wu Lukasz Kuciñski Piotr Milo's LRM 347 13 0 01 Jun 2022
A Probabilistic Generative Model of Free Categories Eli Sennesh T. Xu Y. Maruyama 82 0 0 09 May 2022
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 137 159 0 01 Jul 2021
World Model as a Graph: Learning Latent Landmarks for PlanningInternational Conference on Machine Learning (ICML), 2020 Lunjun Zhang Ge Yang Bradly C. Stadie DRL 170 83 0 25 Nov 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical PredictorsNeural Information Processing Systems (NeurIPS), 2020 Karl Pertsch Oleh Rybkin F. Ebert Chelsea Finn Dinesh Jayaraman Sergey Levine 167 79 0 23 Jun 2020

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