Modular Lifelong Reinforcement Learning via Neural Composition

1 July 2022

Jorge Armando Mendez Mendez

Papers citing "Modular Lifelong Reinforcement Learning via Neural Composition"

32 / 32 papers shown

Title
Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts Saptarshi Nath Christos Peridis Eseoghene Benjamin Xinran Liu Soheil Kolouri Peter Kinnell Zexin Li Cong Liu Shirin Dora Andrea Soltoggio 44 0 0 05 Jun 2025
Self-Composing Policies for Scalable Continual Reinforcement Learning Mikel Malagón Josu Ceberio Jose A. Lozano CLL 46 5 0 04 Jun 2025
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning Jiahua Lan Sen Zhang Haixia Pan Ruijun Liu Li Shen Dacheng Tao CLL 91 0 0 09 Apr 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 153 1 0 22 Jan 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 189 1 0 03 Jan 2025
The State of Robot Motion Generation Kostas E. Bekris Joe H. Doerr Patrick Meng Sumanth Tangirala 3DV 93 3 0 16 Oct 2024
Unveiling Options with Neural Decomposition Mahdi Alikhasi Levi H. S. Lelis 94 0 0 15 Oct 2024
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning Georgios Bakirtzis M. Savvas Ruihan Zhao Sandeep Chinchali Ufuk Topcu 129 2 0 23 Aug 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan David Lynch Alexandros Agapitos Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 97 0 0 30 Apr 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning Hongjoon Ahn Jinu Hyeon Youngmin Oh Bosun Hwang Taesup Moon CLL OnRL 64 2 0 08 Mar 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem Maciej Wolczyk Bartłomiej Cupiał M. Ostaszewski Michal Bortkiewicz Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 153 18 0 05 Feb 2024
LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery Weikang Wan Yifeng Zhu Rutav Shah Yuke Zhu SSL LM&Ro VLM CLL 100 28 0 03 Nov 2023
Visually Grounded Continual Language Learning with Selective Specialization Kyra Ahrens Lennart Bengtson Jae Hee Lee Stefan Wermter 94 0 0 24 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner Qingfeng Lan A. Rupam Mahmood CLL 104 9 0 02 Oct 2023
Policy Stitching: Learning Transferable Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen OffRL 61 8 0 24 Sep 2023
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies Tianyu Li Nadia Figueroa 71 8 0 05 Sep 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 107 7 0 13 Jul 2023
Embodied Lifelong Learning for Task and Motion Planning Jorge Armando Mendez Mendez L. Kaelbling Tomás Lozano-Pérez 61 17 0 13 Jul 2023
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models Siyan Zhao Aditya Grover OffRL 88 7 0 09 Jun 2023
Evaluating Continual Learning on a Home Robot Sam Powers Abhi Gupta Chris Paxton CLL 98 3 0 04 Jun 2023
Egocentric Planning for Scalable Embodied Task Achievement Xiaotian Liu Héctor Palacios Christian Muise LM&Ro 89 4 0 02 Jun 2023
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning Lorenz Wolf Mirco Musolesi OffRL 77 0 0 01 Jun 2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Xinran Liu Shirin Dora Cong Liu Soheil Kolouri Andrea Soltoggio CLL 76 10 0 18 May 2023
Continual Visual Reinforcement Learning with A Life-Long World Model Wendong Zhang Wendong Zhang Geng Chen Siyu Gao Yunbo Wang Xiaokang Yang Xiaokang Yang CLL 97 3 0 12 Mar 2023
Towards Zero-Shot Functional Compositionality of Language Models Hangyeol Yu Myeongho Jeong Jamin Shin Hyeongdon Moon Juneyoung Park Seungtaek Choi 82 1 0 06 Mar 2023
Lifelong Reinforcement Learning with Modulating Masks Eseoghene Ben-Iwhiwhu Saptarshi Nath Praveen K. Pilly Soheil Kolouri Andrea Soltoggio CLL OffRL 100 23 0 21 Dec 2022
Beyond Supervised Continual Learning: a Review Benedikt Bagus A. Gepperth Timothée Lesort BDL CLL 83 10 0 30 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 125 29 0 15 Jul 2022
CompoSuite: A Compositional Reinforcement Learning Benchmark Jorge Armando Mendez Mendez Marcel Hussing Meghna Gummadi Eric Eaton CoGe OffRL 87 14 0 08 Jul 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 115 8 0 22 May 2022
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 150 324 0 25 Dec 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 193 445 0 25 Sep 2020