🗓️ The IBRL Workshop kicks off tomorrow! 🎉.Join us at @RL_Conference @UAlberta to explore how Inductive Biases can boost 🚀 the performance of RL agents. 📄 Accepted papers: 📅 Full schedule: #ReinforcementLearning #RLC2025

Due to unfortunate circumstances, @g_sokar won’t be able to join us at the IBRL Workshop. We’re grateful that her fantastic collaborator, Pablo Samuel Castro (@pcastr) from Google DeepMind, will deliver the talk in person on her behalf tomorrow! 🙌.

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🗓️ The IBRL Workshop is happening in a week! Join us on August 5 at @RL_Conference to discuss Inductive Biases in RL 🚀.📘 Accepted papers: 🕓 Full schedule:

⏰ Less than 48 hours left for submitting your work at the IBRL Workshop!.🚀 We remark that three papers will be accepted as spotlights and will have the opportunity to give a 10-minute presentation before the poster session! .🔗 OpenReview portal:

📢 To align with other workshops, we extend the submission deadline to June 12th AoE! .🔗 Portal: 🌐 More information at: 🚀 Looking forward to seeing you at @RL_Conference!.

🤖 Topics: Abstractions and structured policies, generalization, relational biases and representations, biases for robotics, future directions, and more!.

📢 Submission deadline extension: the new deadline is June 6th AoE .🔗 Portal: 🌐 More information at: 🚀 Looking forward to seeing you at @RL_Conference !.

Revealing our 4th Keynote! 🎤. Marlos C. Machado, Assistant Professor at Alberta University, Canada CIFAR AI Chair, and Fellow at Amii, will speak on "Representation-driven Option Discovery in Reinforcement Learning" — exploring inductive biases through representation learning

@g_sokar.

Introducing our 3rd Keynote 🎤. Ghada Sokar, Research Scientist at Google DeepMind and Adjunct Professor at Tu/e, will speak on "Network Plasticity and Scalability in Deep Reinforcement Learning" — exploring model adaptation and continuous learning under non-stationary conditions

Revealing our 2nd keynote!🎤. Roberta Raileanu (, Research Scientist at Meta and Honorary Lecturer at UCL, will talk about “LLM Whispers: Injecting Human Priors into RL Agents" — exploring LLMs as proxies of inductive biases for feedback, skill design, .

Announcing our first keynote! 🎤 . Natasha Jaques (, Assistant Professor at the University of Washington and Senior Research Scientist at Google DeepMind, will speak on “Social Reinforcement Learning” — exploring multi-agent and human-AI interactions.

📙 Format: 4-8 pages (RLC format).✅ Works accepted at other venues are welcome if published after 1 September 2024.🌐 For more information, check:

📢 Reminder: Call for Papers for IBRL Workshop (@RL_Conference ) 🚀.🗓️ Deadline: May 30 AoE.🤖 Topics: Abstractions and structured policies, generalization, relational biases and representations, biases for robotics, future directions, and more .🔗 Portal:

✅ Works accepted at other venues are welcome if published after 1 September 2024.🔗 OpenReview portal: 📝 If you want to participate as a reviewer, check: 🌐 For more information, check:

📢 The Call for Papers for the IBRL workshop is now open! 🚀.🤖 Topics: abstractions and structured policies, generalization, relational biases and representations, biases for robotics, future directions, and more.🗓️ Submission Deadline: 30th May 2025, AoE.📙 Format: 4-8 pages.

The Inductive Biases in Reinforcement Learning (IBRL) Workshop has been accepted at @RL_Conference 2025!.Check the website for more information: