<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://proceedings.mlr.press/v330/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/v330/" rel="alternate" type="text/html" /><updated>2026-04-06T17:49:25+00:00</updated><id>https://proceedings.mlr.press/v330/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of The 4th Conference on Lifelong Learning Agents
  Held in University of Pennsylvania, Philadelphia, PA, USA on 11-14 August 2025

Published as Volume 330 by the Proceedings of Machine Learning Research on 06 April 2026.

Volume Edited by:
  Sarath Chandar
  Razvan Pascanu
  Eric Eaton
  Bing Liu
  Rupam Mahmood
  Amal Rannen-Triki

Series Editors:
  Neil D. Lawrence
</subtitle><author><name>PMLR</name></author><entry><title type="html">Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models</title><link href="https://proceedings.mlr.press/v330/abbes26a.html" rel="alternate" type="text/html" title="Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/abbes26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/abbes26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Istabrak&quot;, &quot;family&quot;=&gt;&quot;Abbes&quot;}, {&quot;given&quot;=&gt;&quot;Gopeshh&quot;, &quot;family&quot;=&gt;&quot;Subbaraj&quot;}, {&quot;given&quot;=&gt;&quot;Matthew&quot;, &quot;family&quot;=&gt;&quot;Riemer&quot;}, {&quot;given&quot;=&gt;&quot;Nizar&quot;, &quot;family&quot;=&gt;&quot;Islah&quot;}, {&quot;given&quot;=&gt;&quot;Tsuguchika&quot;, &quot;family&quot;=&gt;&quot;Tabaru&quot;}, {&quot;given&quot;=&gt;&quot;Hiroaki&quot;, &quot;family&quot;=&gt;&quot;Kingetsu&quot;}, {&quot;given&quot;=&gt;&quot;Sarath&quot;, &quot;family&quot;=&gt;&quot;Chandar&quot;}, {&quot;given&quot;=&gt;&quot;Irina&quot;, &quot;family&quot;=&gt;&quot;Rish&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment</title><link href="https://proceedings.mlr.press/v330/chen26a.html" rel="alternate" type="text/html" title="Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/chen26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/chen26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Annie S&quot;, &quot;family&quot;=&gt;&quot;Chen&quot;}, {&quot;given&quot;=&gt;&quot;Govind&quot;, &quot;family&quot;=&gt;&quot;Chada&quot;}, {&quot;given&quot;=&gt;&quot;Laura&quot;, &quot;family&quot;=&gt;&quot;Smith&quot;}, {&quot;given&quot;=&gt;&quot;Archit&quot;, &quot;family&quot;=&gt;&quot;Sharma&quot;}, {&quot;given&quot;=&gt;&quot;Zipeng&quot;, &quot;family&quot;=&gt;&quot;Fu&quot;}, {&quot;given&quot;=&gt;&quot;Sergey&quot;, &quot;family&quot;=&gt;&quot;Levine&quot;}, {&quot;given&quot;=&gt;&quot;Chelsea&quot;, &quot;family&quot;=&gt;&quot;Finn&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">CLA: Latent Alignment for Online Continual Self-Supervised Learning</title><link href="https://proceedings.mlr.press/v330/cignoni26a.html" rel="alternate" type="text/html" title="CLA: Latent Alignment for Online Continual Self-Supervised Learning" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/cignoni26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/cignoni26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Giacomo&quot;, &quot;family&quot;=&gt;&quot;Cignoni&quot;}, {&quot;given&quot;=&gt;&quot;Andrea&quot;, &quot;family&quot;=&gt;&quot;Cossu&quot;}, {&quot;given&quot;=&gt;&quot;Alexandra&quot;, &quot;family&quot;=&gt;&quot;Gomez-Villa&quot;}, {&quot;given&quot;=&gt;&quot;Joost van de&quot;, &quot;family&quot;=&gt;&quot;Weijer&quot;}, {&quot;given&quot;=&gt;&quot;Antonio&quot;, &quot;family&quot;=&gt;&quot;Carta&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective</title><link href="https://proceedings.mlr.press/v330/dong26a.html" rel="alternate" type="text/html" title="On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/dong26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/dong26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Zhiyi&quot;, &quot;family&quot;=&gt;&quot;Dong&quot;}, {&quot;given&quot;=&gt;&quot;Zixuan&quot;, &quot;family&quot;=&gt;&quot;Liu&quot;}, {&quot;given&quot;=&gt;&quot;Yongyi&quot;, &quot;family&quot;=&gt;&quot;Mao&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Learning Without Time-Based Embodiment Resets in Soft-Actor Critic</title><link href="https://proceedings.mlr.press/v330/farrahi26a.html" rel="alternate" type="text/html" title="Learning Without Time-Based Embodiment Resets in Soft-Actor Critic" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/farrahi26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/farrahi26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Homayoon&quot;, &quot;family&quot;=&gt;&quot;Farrahi&quot;}, {&quot;given&quot;=&gt;&quot;A. Rupam&quot;, &quot;family&quot;=&gt;&quot;Mahmood&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Data-dependent and Oracle Bounds on Forgetting in Continual Learning</title><link href="https://proceedings.mlr.press/v330/friedman26a.html" rel="alternate" type="text/html" title="Data-dependent and Oracle Bounds on Forgetting in Continual Learning" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/friedman26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/friedman26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Lior&quot;, &quot;family&quot;=&gt;&quot;Friedman&quot;}, {&quot;given&quot;=&gt;&quot;Ron&quot;, &quot;family&quot;=&gt;&quot;Meir&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models</title><link href="https://proceedings.mlr.press/v330/goswami26a.html" rel="alternate" type="text/html" title="Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/goswami26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/goswami26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Dipam&quot;, &quot;family&quot;=&gt;&quot;Goswami&quot;}, {&quot;given&quot;=&gt;&quot;Liying&quot;, &quot;family&quot;=&gt;&quot;Wang&quot;}, {&quot;given&quot;=&gt;&quot;Bartłomiej&quot;, &quot;family&quot;=&gt;&quot;Twardowski&quot;}, {&quot;given&quot;=&gt;&quot;Joost van de&quot;, &quot;family&quot;=&gt;&quot;Weijer&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization</title><link href="https://proceedings.mlr.press/v330/harun26a.html" rel="alternate" type="text/html" title="A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/harun26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/harun26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Md Yousuf&quot;, &quot;family&quot;=&gt;&quot;Harun&quot;}, {&quot;given&quot;=&gt;&quot;Christopher&quot;, &quot;family&quot;=&gt;&quot;Kanan&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Reinitializing weights vs units for maintaining plasticity in neural networks</title><link href="https://proceedings.mlr.press/v330/hernandez-garcia26a.html" rel="alternate" type="text/html" title="Reinitializing weights vs units for maintaining plasticity in neural networks" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/hernandez-garcia26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/hernandez-garcia26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;J. Fernando&quot;, &quot;family&quot;=&gt;&quot;Hernandez-Garcia&quot;}, {&quot;given&quot;=&gt;&quot;Shibhansh&quot;, &quot;family&quot;=&gt;&quot;Dohare&quot;}, {&quot;given&quot;=&gt;&quot;Jun&quot;, &quot;family&quot;=&gt;&quot;Luo&quot;}, {&quot;given&quot;=&gt;&quot;Richard S.&quot;, &quot;family&quot;=&gt;&quot;Sutton&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion</title><link href="https://proceedings.mlr.press/v330/jaziri26a.html" rel="alternate" type="text/html" title="Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion" /><published>2026-04-06T00:00:00+00:00</published><updated>2026-04-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v330/jaziri26a</id><content type="html" xml:base="https://proceedings.mlr.press/v330/jaziri26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Achref&quot;, &quot;family&quot;=&gt;&quot;Jaziri&quot;}, {&quot;given&quot;=&gt;&quot;Étienne&quot;, &quot;family&quot;=&gt;&quot;Künzel&quot;}, {&quot;given&quot;=&gt;&quot;Visvanathan&quot;, &quot;family&quot;=&gt;&quot;Ramesh&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>