Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer

22 September 2016

Abhishek Gupta

Pieter Abbeel

Papers citing "Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer"

50 / 88 papers shown

Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 186 2 0 10 Mar 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 97 1 0 03 Jan 2025
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning Georgios Bakirtzis M. Savvas Ruihan Zhao Sandeep Chinchali Ufuk Topcu 45 2 0 23 Aug 2024
A Survey of Language-Based Communication in Robotics William Hunt Sarvapali D. Ramchurn Mohammad D. Soorati LM&Ro 70 12 0 06 Jun 2024
MeMo: Meaningful, Modular Controllers via Noise Injection Megan Tjandrasuwita Jie Xu Armando Solar-Lezama Wojciech Matusik 31 0 0 24 May 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan Alexandros Agapitos David Lynch Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 51 0 0 30 Apr 2024
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint Haitong Ma Zhaolin Ren Bo Dai Na Li 40 1 0 07 Apr 2024
Efficient Data Collection for Robotic Manipulation via Compositional Generalization Jensen Gao Annie Xie Ted Xiao Chelsea Finn Dorsa Sadigh 34 19 0 08 Mar 2024
Learning a Hierarchical Planner from Humans in Multiple Generations Leonardo Hernandez Cano Yewen Pu Robert D. Hawkins Josh Tenenbaum Armando Solar-Lezama 29 2 0 17 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control Pei Xu Kaixiang Xie Sheldon Andrews P. Kry Michael Neff Morgan McGuire Ioannis Karamouzas Victor Zordan TTA 50 17 0 30 Sep 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 35 5 0 13 Jul 2023
Adaptive Policy Learning to Additional Tasks Wenjian Hao Zehui Lu Zihao Liang Tianyu Zhou Shaoshuai Mou 32 0 0 24 May 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 34 73 0 22 Feb 2023
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings Sudhir Pratap Yadav R. Nagar S. Shah OffRL 29 3 0 31 Jan 2023
Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem Hélène Plisnier Denis Steckelmacher Jeroen Willems B. Depraetere Ann Nowé OffRL 32 1 0 30 Jan 2023
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments Christian Bitter Timo Thun Tobias Meisen 36 1 0 01 Dec 2022
Curriculum-based Asymmetric Multi-task Reinforcement Learning H. Huang Deheng Ye Li Shen Wen Liu 32 12 0 07 Nov 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning Lingfeng Sun Haichao Zhang Wei Xu Masayoshi Tomizuka MoE 30 37 0 21 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu SSL 29 5 0 20 Oct 2022
GNM: A General Navigation Model to Drive Any Robot Dhruv Shah A. Sridhar Arjun Bhorkar Noriaki Hirose Sergey Levine 28 105 0 07 Oct 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 81 27 0 28 Sep 2022
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots Gilbert Feng Hongbo Zhang Zhongyu Li Xue Bin Peng Bhuvan Basireddy ... Zhitao Song Lizhi Yang Yunhui Liu Koushil Sreenath Sergey Levine 100 60 0 12 Sep 2022
Instruction-driven history-aware policies for robotic manipulations Pierre-Louis Guhur Shizhe Chen Ricardo Garcia Pinel Makarand Tapaswi Ivan Laptev Cordelia Schmid LM&Ro 113 102 0 11 Sep 2022
Categorical semantics of compositional reinforcement learning Georgios Bakirtzis M. Savvas Ufuk Topcu CoGe 48 4 0 29 Aug 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 27 3 0 07 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 37 27 0 15 Jul 2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL Wei Shi Hanrui Wang Jiaqi Gu Mingjie Liu David Z. Pan Song Han Nan Sun 19 14 0 13 Jul 2022
LegoNN: Building Modular Encoder-Decoder Models Siddharth Dalmia Dmytro Okhonko M. Lewis Sergey Edunov Shinji Watanabe Florian Metze Luke Zettlemoyer Abdel-rahman Mohamed AuLLM MoE 29 14 0 07 Jun 2022
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework Dian Wang Colin Kohler Xu Zhu Ming Jia Robert W. Platt 32 9 0 28 May 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 119 793 0 12 May 2022
Conditional Imitation Learning for Multi-Agent Games Andy Shih Stefano Ermon Dorsa Sadigh 41 11 0 05 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 37 42 0 31 Dec 2021
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 48 4 0 17 Dec 2021
Human irrationality: both bad and good for reward inference Lawrence Chan Andrew Critch Anca Dragan 20 26 0 12 Nov 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 41 26 0 13 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 26 8 0 05 Oct 2021
The Functional Correspondence Problem Zihang Lai Senthil Purushwalkam Abhinav Gupta 43 13 0 02 Sep 2021
Playful Interactions for Representation Learning Sarah Young Jyothish Pari Pieter Abbeel Lerrel Pinto SSL 49 14 0 19 Jul 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment Michael Chang Sid Kaushik Sergey Levine Thomas Griffiths 31 8 0 28 Jun 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 37 5 0 24 Jun 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration Andy Shih Arjun Sawhney J. Kondic Stefano Ermon Dorsa Sadigh 44 37 0 07 Apr 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 39 41 0 05 Mar 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 182 0 11 Feb 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 0 08 Feb 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 31 115 0 02 Jan 2021
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 26 25 0 27 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 19 15 0 11 Nov 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 55 610 0 10 Sep 2020
Weakly-supervised Learning of Human Dynamics Petrissa Zell Bodo Rosenhahn Bastian Wandt 19 13 0 17 Jul 2020
BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud Mong H. Ng Kaahan Radia Jianfei Chen Dequan Wang Ionel Gog Joseph E. Gonzalez 24 51 0 19 Jun 2020