Goal-Conditioned Reinforcement Learning with Imagined Subgoals

1 July 2021

Papers citing "Goal-Conditioned Reinforcement Learning with Imagined Subgoals"

46 / 96 papers shown

Title
Learning to Discover Skills through Guidance Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 47 6 0 31 Oct 2023
Contrastive Difference Predictive Coding Chongyi Zheng Ruslan Salakhutdinov Benjamin Eysenbach AI4TS OffRL 28 12 0 31 Oct 2023
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving Xueliang Zhao Xinting Huang Wei Bi Lingpeng Kong LRM 48 0 0 19 Oct 2023
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy Zichen Zhang Yunshuang Li Osbert Bastani Abhishek Gupta Dinesh Jayaraman Yecheng Jason Ma Luca Weihs 39 17 0 12 Oct 2023
Learning to Reach Goals via Diffusion V. Jain Siamak Ravanbakhsh DiffM OffRL 43 3 0 04 Oct 2023
HumanMimic: Learning Natural Locomotion and Transitions for Humanoid Robot via Wasserstein Adversarial Imitation Annan Tang Takuma Hiraoka Naoki Hiraoka Fan Shi Kento Kawaharazuka Kunio Kojima K. Okada Masayuki Inaba 26 26 0 25 Sep 2023
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 36 6 0 24 Sep 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 30 47 0 22 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning Zhifeng Qian Mingyu You Hongjun Zhou Xuanhui Xu Bin He 26 3 0 20 Jul 2023
Landmark Guided Active Exploration with State-specific Balance Coefficient Fei Cui Jiaojiao Fang Mengke Yang Guizhong Liu 33 0 0 30 Jun 2023
Curricular Subgoals for Inverse Reinforcement Learning Shunyu Liu Yunpeng Qing Shuqi Xu Hongyan Wu Jiangtao Zhang Jingyuan Cong Tianhao Chen Yunfu Liu Mingli Song 28 1 0 14 Jun 2023
PEAR: Primitive enabled Adaptive Relabeling for boosting Hierarchical Reinforcement Learning Utsav Singh Vinay P. Namboodiri OffRL 47 3 0 10 Jun 2023
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng Benjamin Eysenbach Homer Walke Patrick Yin Kuan Fang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 4 0 06 Jun 2023
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning Kibeom Kim Hyun-Dong Lee Min Whoo Lee Moonheon Lee Minsu Lee Byoung-Tak Zhang 23 1 0 23 May 2023
Goal-Conditioned Supervised Learning with Sub-Goal Prediction Tom Jurgenson Aviv Tamar 31 1 0 17 May 2023
Planning Goals for Exploration E. Hu Richard Chang Oleh Rybkin Dinesh Jayaraman 43 24 0 23 Mar 2023
A Survey of Demonstration Learning André Rosa de Sousa Porfírio Correia Luís A. Alexandre OffRL 36 17 0 20 Mar 2023
Imitating Graph-Based Planning with Goal-Conditioned Policies Junsup Kim Younggyo Seo Sungsoo Ahn Kyunghwan Son Jinwoo Shin 34 10 0 20 Mar 2023
Goal-conditioned Offline Reinforcement Learning through State Space Partitioning Mianchu Wang Yue Jin Giovanni Montana OffRL 21 3 0 16 Mar 2023
Swapped goal-conditioned offline reinforcement learning Wenyan Yang Huiling Wang Dingding Cai Joni Pajarinen Joni-Kristen Kämäräinen OffRL OnRL 36 1 0 17 Feb 2023
Prioritized offline Goal-swapping Experience Replay Wenyan Yang Joni Pajarinen Dinging Cai Joni Kämäräinen OffRL OnRL 32 0 0 15 Feb 2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation Xinyi Yang Shiyu Huang Yiwen Sun Yuxiang Yang Chao Yu Weijuan Tu Huazhong Yang Yu Wang 26 7 0 08 Feb 2023
Hierarchical Imitation Learning with Vector Quantized Models Kalle Kujanpää Joni Pajarinen Alexander Ilin 22 12 0 30 Jan 2023
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 51 21 0 13 Dec 2022
Automated Play-Testing Through RL Based Human-Like Play-Styles Generation Pierre Le Pelletier de Woillemont Rémi Labory Vincent Corruble TTA 24 7 0 29 Nov 2022
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 28 4 0 09 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam Hongyu Zang Anirudh Goyal Alex Lamb Kenji Kawaguchi Xin-hui Li Romain Laroche Yoshua Bengio Rémi Tachet des Combes OffRL AI4CE 25 9 0 01 Nov 2022
AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay Adarsh Sehgal Muskan Sehgal Hung M. La 24 2 0 24 Oct 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks Kuan Fang Patrick Yin Ashvin Nair Homer Walke Ge Yan Sergey Levine OffRL 31 22 0 12 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation Julian Alverio Boris Katz Andrei Barbu 37 0 0 05 Oct 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 37 3 0 24 Sep 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning Kang Xu Yan Ma Wei Li 46 0 0 23 Sep 2022
Hierarchical Decision Transformer André Rosa de Sousa Porfírio Correia L. A. Alexandre OffRL 98 10 0 21 Sep 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 29 35 0 20 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 39 141 0 15 Jun 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$ -Advantage Regression Yecheng Jason Ma Jason Yan Dinesh Jayaraman Osbert Bastani OffRL 25 53 0 07 Jun 2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks Andrew C. Li Pashootan Vaezipoor Rodrigo Toro Icarte Sheila A. McIlraith OffRL LRM 24 4 0 03 Jun 2022
A Fully Controllable Agent in the Path Planning using Goal-Conditioned Reinforcement Learning G. Lee 35 0 0 20 May 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space Kuan Fang Patrick Yin Ashvin Nair Sergey Levine OffRL 58 29 0 17 May 2022
Automatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks Adarsh Sehgal Nicholas Ward Hung M. La S. Louis 18 1 0 07 Apr 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 35 133 0 20 Jan 2022
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 37 17 0 22 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 49 16 0 14 Oct 2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards Deyu Yang Hanbo Zhang Xuguang Lan Jishiyu Ding OffRL 35 2 0 18 Sep 2021
Subgoal Search For Complex Reasoning Tasks K. Czechowski Tomasz Odrzygó'zd'z Marek Zbysiñski Michał Zawalski Krzysztof Olejnik Yuhuai Wu Lukasz Kuciñski Piotr Milo's ReLM LRM 34 35 0 25 Aug 2021
Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model Yuán Chen Ruosong Ye Ziyang Tao Hongjian Liu Guangda Chen Jie Peng Jun Ma Yu Zhang Jianmin Ji Yanyong Zhang 14 0 0 13 Aug 2021