Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

12 June 2019

Papers citing "Search on the Replay Buffer: Bridging Planning and Reinforcement Learning"

50 / 173 papers shown

Title
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback M. Torné Max Balsells Zihan Wang Samedh Desai Tao Chen Pulkit Agrawal Abhishek Gupta 26 8 0 20 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
Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underactuated Systems Navigating on Uncertain Ocean Currents Matthias Killer Marius Wiggert Hanna Krasowski M. Doshi Pierre FJ Lermusiaux Claire Tomlin 18 2 0 04 Jul 2023
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning Sha Luo Lambert Schomaker 19 9 0 11 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 39 4 0 06 Jun 2023
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving Xueliang Zhao Wenda Li Lingpeng Kong 35 28 0 25 May 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 36 12 0 26 Apr 2023
Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting Marta Skreta Naruki Yoshikawa Sebastian Arellano-Rubach Zhi Ji L. B. Kristensen Kourosh Darvish Alán Aspuru-Guzik Florian Shkurti Animesh Garg 78 56 0 24 Mar 2023
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang Alyssa Dayan Franziska Meier Thomas L. Griffiths Sergey Levine Amy Zhang OCL OffRL 27 9 0 20 Mar 2023
Imitating Graph-Based Planning with Goal-Conditioned Policies Junsup Kim Younggyo Seo Sungsoo Ahn Kyunghwan Son Jinwoo Shin 26 9 0 20 Mar 2023
Efficient Learning of High Level Plans from Play Núria Armengol Urpí Marco Bagatella Otmar Hilliges Georg Martius Stelian Coros OffRL 21 3 0 16 Mar 2023
One-4-All: Neural Potential Fields for Embodied Navigation Sacha Morin Miguel A. Saavedra-Ruiz Liam Paull 29 5 0 07 Mar 2023
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents Wenlong Huang Fei Xia Dhruv Shah Danny Driess Andy Zeng ... Pete Florence Igor Mordatch Sergey Levine Karol Hausman Brian Ichter LM&Ro 27 42 0 01 Mar 2023
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning Yu Lu Arunesh Sinha Pradeep Varakantham 24 0 0 21 Feb 2023
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning Mudit Verma Siddhant Bhambri Subbarao Kambhampati 37 4 0 17 Feb 2023
Graph schemas as abstractions for transfer learning, inference, and planning J. S. Guntupalli Rajkumar Vasudeva Raju Shrinu Kushagra Carter Wendelken Daniel P. Sawyer Ishani Deshpande Guangyao Zhou Miguel Lazaro-Gredilla Dileep George 37 9 0 14 Feb 2023
GePASE: Generalized Edge-Based Parallel A for Slow Evaluations Shohin Mukherjee Maxim Likhachev 21 2 0 24 Jan 2023
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 37 21 0 13 Dec 2022
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning Onur Beker Mohammad Mohammadi Amir Zamir 34 2 0 08 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance C. Chang Ni Mu Jiajun Wu Ling Pan Huazhe Xu 50 7 0 05 Dec 2022
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 24 7 0 11 Nov 2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning Michal Bortkiewicz Jakub Lyskawa Pawel Wawrzyñski M. Ostaszewski Artur Grudkowski Tomasz Trzciñski 21 0 0 11 Nov 2022
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 17 4 0 09 Nov 2022
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks Chen-Ping Yu Sicun Gao 34 47 0 17 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
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning Seungjae Lee Jigang Kim Inkyu Jang H. J. Kim OffRL 27 10 0 11 Oct 2022
Generating Executable Action Plans with Environmentally-Aware Language Models Maitrey Gramopadhye D. Szafir LM&Ro LLMAG 20 22 0 10 Oct 2022
Multi-Task Option Learning and Discovery for Stochastic Path Planning Naman Shah Siddharth Srivastava 19 2 0 30 Sep 2022
Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning Firas Jarboui Ahmed Akakzia 16 0 0 26 Sep 2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models Ishika Singh Valts Blukis Arsalan Mousavian Ankit Goyal Danfei Xu Jonathan Tremblay D. Fox Jesse Thomason Animesh Garg LM&Ro LLMAG 120 624 0 22 Sep 2022
Cell-Free Latent Go-Explore Quentin Gallouedec Emmanuel Dellandréa 12 1 0 31 Aug 2022
Inner Monologue: Embodied Reasoning through Planning with Language Models Wenlong Huang F. Xia Ted Xiao Harris Chan Jacky Liang ... Tomas Jackson Linda Luu Sergey Levine Karol Hausman Brian Ichter LLMAG LM&Ro LRM 41 856 0 12 Jul 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 50 101 0 19 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 28 139 0 15 Jun 2022
State Supervised Steering Function for Sampling-based Kinodynamic Planning P. Atreya Joydeep Biswas LLMSV 8 7 0 15 Jun 2022
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning Deyao Zhu Erran L. Li Mohamed Elhoseiny OffRL 34 8 0 09 Jun 2022
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning Jinning Li Chen Tang Masayoshi Tomizuka Wei Zhan OffRL 53 57 0 24 May 2022
A Fully Controllable Agent in the Path Planning using Goal-Conditioned Reinforcement Learning G. Lee 30 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 55 29 0 17 May 2022
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios Ugo Lecerf Christelle Yemdji Tchassi S. Aubert Pietro Michiardi 21 0 0 11 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Michael Ahn Anthony Brohan Noah Brown Yevgen Chebotar Omar Cortes ... Ted Xiao Peng-Tao Xu Sichun Xu Mengyuan Yan Andy Zeng LM&Ro 45 1,845 0 04 Apr 2022
Topological Experience Replay Zhang-Wei Hong Tao Chen Yen-Chen Lin Joni Pajarinen Pulkit Agrawal 16 16 0 29 Mar 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning Abhishek Gupta Corey Lynch Brandon Kinman Garrett Peake Sergey Levine Karol Hausman OffRL 19 17 0 29 Mar 2022
Continual Auxiliary Task Learning Matt McLeod Chun-Ping Lo M. Schlegel Andrew Jacobsen Raksha Kumaraswamy Martha White Adam White CLL 16 8 0 22 Feb 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 30 29 0 09 Feb 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 38 10 0 24 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 33 132 0 20 Jan 2022
Automated Reinforcement Learning: An Overview Reza Refaei Afshar Yingqian Zhang Joaquin Vanschoren U. Kaymak OffRL 28 16 0 13 Jan 2022
A Research Agenda for AI Planning in the Field of Flexible Production Systems Aljosha Kocher René Heesch Niklas Widulle Anna Nordhausen Julian Putzke Alexander Windmann Oliver Niggemann 13 5 0 31 Dec 2021