Continual RL Workshop

Continual Reinforcement Learning Workshop @ RLC 2026, Montreal, Canada

✨ Submission OPEN:

[Continual RL Workshop @continual_learn]

Standard RL assumes a stable world. The real world may not.

♾ Introducing the Continual RL Workshop @RL_Conference 2026, Montreal, Canada.
🤖 Agents should never stop learning!

🖼️ Site: https://t.co/ZYpBUPbRqR
📄 Submit: https://t.co/Lf5Yj55pDe

[Continual RL Workshop @continual_learn]

🎉 A big thank you to everyone who contributed during the submission phase, from paper submissions to reviewer commitments.

We've put significant effort into optimizing the process to provide authors with constructive, high-quality feedback.

Exciting updates are still ahead. Stay tuned! 🚀

[Continual RL Workshop @continual_learn]

📢 Call for papers: Continual RL Workshop @ RLC 2026, Montreal

🗓️ Submission deadline: May 22, 2026 (AoE)
🔗 Website & CFP: https://t.co/JmNXyeyPSL

#ReinforcementLearning #ContinualLearning #MachineLearning #RLC2026 #ContinualRL

[Continual RL Workshop @continual_learn]

⏰ Just 1 day left until the deadline!
Don't miss your chance to submit.

Previously published work is also welcome, provided it appeared after 1 September 2025.

[Continual RL Workshop @continual_learn]

Standard RL assumes a stable world. The real world may not.

♾ Introducing the Continual RL Workshop @RL_Conference 2026, Montreal, Canada.
🤖 Agents should never stop learning!

🖼️ Site: https://t.co/ZYpBUPbRqR
📄 Submit: https://t.co/Lf5Yj55pDe

[Continual RL Workshop @continual_learn]

Reminder: the submission deadline is in about one week: May 29, 2026 (AoE). We look forward to your submission!

[Continual RL Workshop @continual_learn]

Standard RL assumes a stable world. The real world may not.

♾ Introducing the Continual RL Workshop @RL_Conference 2026, Montreal, Canada.
🤖 Agents should never stop learning!

🖼️ Site: https://t.co/ZYpBUPbRqR
📄 Submit: https://t.co/Lf5Yj55pDe

[Continual RL Workshop @continual_learn]

We extend the submission deadline to May 29, 2026 (AoE), given the number of requests. We look forward to your submissions!😀

[Continual RL Workshop @continual_learn]

Standard RL assumes a stable world. The real world may not.

♾ Introducing the Continual RL Workshop @RL_Conference 2026, Montreal, Canada.
🤖 Agents should never stop learning!

🖼️ Site: https://t.co/ZYpBUPbRqR
📄 Submit: https://t.co/Lf5Yj55pDe

[Continual RL Workshop @continual_learn]

📢 Call for papers: Continual RL Workshop @ RLC 2026, Montreal

🗓️ Submission deadline: May 22, 2026 (AoE)
🔗 Website & CFP: https://t.co/JmNXyeyPSL

#ReinforcementLearning #ContinualLearning #MachineLearning #RLC2026 #ContinualRL

[Continual RL Workshop @continual_learn]

We apologize for reposting: unfortunately, our previous tweet was unexpectedly removed by the platform without reason🥲.

Follow us for updates: more to come!

[Continual RL Workshop @continual_learn]

Standard RL assumes a stable world. The real world may not.

♾ Introducing the Continual RL Workshop @RL_Conference 2026, Montreal, Canada.
🤖 Agents should never stop learning!

🖼️ Site: https://t.co/ZYpBUPbRqR
📄 Submit: https://t.co/Lf5Yj55pDe

[Continual RL Workshop @continual_learn]

Our submission is currently open! 🔥
📝 Call for Papers: https://t.co/Lf5Yj55pDe
🔗 Submission Portal: https://t.co/6YgW4Kci62
⏰ Submission Deadline (Tentative): 22 May 2026 (AoE)

Don’t miss the opportunity to share your work with the community.

[Continual RL Workshop @continual_learn]

@Aswin_polymath @RL_Conference @RichardSSutton @PeterStone_TX @rupammahmood @apsarathchandar @dabelcs @yuey7x Hi Aswin, thanks for asking! Yes, we plan to record the session (subject to speaker approval). That said, it would also be great to have you join us in person and take part in the workshop discussions 😀

[Continual RL Workshop @continual_learn]

⭐Special thanks to all the organizers:
@RayZiyan41307, @xutongzhao, @twni2016, @itsNVA7, @Guozheng_Ma, @anna_ssi_;
⭐And our advisory committee:
@clarelyle, Adam White, Doina Precup.

[Continual RL Workshop @continual_learn]

Topics include, but are not limited to different aspects of CRL:
🧠 Foundation & theory
⚙️ Algorithms
🧪 Experimental protocols & benchmarks
🚀 Applications

Format
📑 Papers: 4-8 content pages