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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-05-29 · via Proceedings of Machine Learning Research

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Volume 232: Conference on Lifelong Learning Agents, 22-25 August 2023, McGill University, Montréal, Québec, Canada

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Editors: Sarath Chandar, Razvan Pascanu, Hanie Sedghi, Doina Precup

[bib][citeproc]

Filter Authors: Filter Titles:

EMO: Episodic Memory Optimization for Few-Shot Meta-Learning

; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:1-20

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Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning

Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:21-42

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Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation

Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:43-65

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Differentially Private Algorithms for Efficient Online Matroid Optimization

Kushagra Chandak, Bingshan Hu, Nidhi Hegde; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:66-88

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Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:89-119

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Vision-Language Models as Success Detectors

Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:120-136

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Autotelic Reinforcement Learning in Multi-Agent Environments

Eleni Nisioti, Elias Masquil, Gautier Hamon, Clément Moulin-Frier; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:137-161

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Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification

Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Li, Yiran Chen; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:162-183

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The Effectiveness of World Models for Continual Reinforcement Learning

Samuel Kessler, Mateusz Ostaszewski, MichałPaweł Bortkiewicz, Mateusz Żarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Mi\loś; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:184-204

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Augmenting Autotelic Agents with Large Language Models

Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:205-226

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Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach

Renhao Huang, Anthony Tompkins, Maurice Pagnucco, Yang Song; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:227-243

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RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation

Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:244-269

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Stabilizing Unsupervised Environment Design with a Learned Adversary

Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:270-291

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Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning

Shenao Zhang, Li Shen, Lei Han, Li Shen; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:292-317

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Partial Hypernetworks for Continual Learning

Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:318-336

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Human inductive biases for aversive continual learning — a hierarchical Bayesian nonparametric model

Sashank Pisupati, Isabel M Berwian, Jamie Chiu, Yongjing Ren, Yael Niv; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:337-346

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Prospective Learning: Principled Extrapolation to the Future

Ashwin De Silva, Rahul Ramesh, Lyle Ungar, Marshall Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu Timothy Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:347-357

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Embodied Active Learning of Relational State Abstractions for Bilevel Planning

Amber Li, Tom Silver; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:358-375

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Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning

Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:376-398

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PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning

Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:399-414

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Partial Index Tracking: A Meta-Learning Approach

Yongxin Yang, Timothy Hospedales; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:415-436

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Class-Incremental Learning with Repetition

Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:437-455

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Reducing Communication Overhead in Federated Learning for Pre-trained Language Models Using Parameter-Efficient Finetuning

Shubham Malaviya, Manish Shukla, Sachin Lodha; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:456-469

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Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting

Vincent Létourneau, Colin Bellinger, Isaac Tamblyn, Maia Fraser; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:470-480

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Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning

Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:481-492

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Evaluating Continual Learning on a Home Robot

Sam Powers, Abhinav Gupta, Chris Paxton; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:493-512

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Fixed Design Analysis of Regularization-Based Continual Learning

Haoran Li, Jingfeng Wu, Vladimir Braverman; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:513-533

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Continually learning representations at scale

Alexandre Galashov, Jovana Mitrovic, Dhruva Tirumala, Yee Whye Teh, Timothy Nguyen, Arslan Chaudhry, Razvan Pascanu; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:534-547

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Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning

Safa Alver, Doina Precup; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:548-567

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Hierarchical Representation Learning for Markov Decision Processes

Lorenzo Steccanella, Simone Totaro, Anders Jonsson; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:568-585

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MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers

Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:586-600

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What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation

Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:601-619

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Loss of Plasticity in Continual Deep Reinforcement Learning

Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:620-636

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Sample-Efficient Learning of Novel Visual Concepts

Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia Sycara; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:637-657

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VIBR: Learning View-Invariant Value Functions for Robust Visual Control

Tom Dupuis, Jaonary Rabarisoa, Quoc-Cuong Pham, David Filliat; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:658-682

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Incremental Unsupervised Domain Adaptation on Evolving Graphs

Hsing-Huan Chung, Joydeep Ghosh; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:683-702

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Auxiliary task discovery through generate-and-test

Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard Sutton, Jun Luo, Adam White; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:703-714

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Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes

Reda Alami, Mohammed Mahfoud, Eric Moulines; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:715-744

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Value-aware Importance Weighting for Off-policy Reinforcement Learning

Kristopher De Asis, Eric Graves, Richard S. Sutton; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:745-763

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Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning

Gwen Legate, Lucas Caccia, Eugene Belilovsky; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:764-780

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Measuring and Mitigating Interference in Reinforcement Learning

Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:781-795

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Adaptive Meta-Learning via data-dependent PAC-Bayes bounds

Lior Friedman, Ron Meir; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:796-810

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Active Class Selection for Few-Shot Class-Incremental Learning

Christopher McClurg, Ali Ayub, Harsh Tyagi, Sarah M. Rajtmajer, Alan R. Wagner; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:811-827

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Improving Online Continual Learning Performance and Stability with Temporal Ensembles

Albin Soutif–Cormerais, Antonio Carta, Joost van de Weijer; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:828-845

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Model-Based Meta Automatic Curriculum Learning

Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:846-860

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Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi

Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:861-877

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Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation

Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:878-908

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Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-label Text Classification

Muberra Ozmen, Joseph Cotnareanu, Mark Coates; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:909-922

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I2I: Initializing Adapters with Improvised Knowledge

Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:923-935

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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; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:936-960

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Continual Learning Beyond a Single Model

Thang Doan, Seyed Iman Mirzadeh, Mehrdad Farajtabar; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:961-991

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Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures

Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:992-1008

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A Minimalist Approach for Domain Adaptation with Optimal Transport

Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:1009-1024

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Low-rank extended Kalman filtering for online learning of neural networks from streaming data

Peter G. Chang, Gerardo Durán-Martín, Alex Shestopaloff, Matt Jones, Kevin Patrick Murphy; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:1025-1071

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Introspective Action Advising for Interpretable Transfer Learning

Joseph Campbell, Yue Guo, Fiona Xie, Simon Stepputtis, Katia Sycara; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:1072-1090

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SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory

Han Sun, Rui Gong, Konrad Schindler, Luc Van Gool; Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232:1091-1111

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