Overview
The second edition of the workshop titled Aligning RL Experimentalists and Theorists (ARLET) has been officially accepted as part of the NeurIPS 2025 conference. This workshop aims to foster collaboration between researchers in reinforcement learning by bridging the gap between theoretical and experimental approaches.
Background & Relevance
Reinforcement learning (RL) is a crucial area of artificial intelligence that focuses on how agents can learn to make decisions through interactions with their environment. The integration of theoretical insights with experimental findings is essential for advancing the field. Workshops like ARLET play a significant role in promoting dialogue and collaboration among researchers, which is vital for addressing complex challenges in RL.
Key Details
- Submission Deadline: August 22, 2025, AoE
- Notification of Acceptance: September 22, 2025, AoE
- Workshop Website: ARLET Workshop
- Submission Link: OpenReview Submission
Eligibility & Participation
The workshop invites contributions from researchers, practitioners, and students interested in the intersection of theoretical and experimental aspects of reinforcement learning. It targets those looking to share their insights, open problems, and innovative ideas that can enhance collaboration in the field.
Submission or Application Guidelines
Participants can submit papers, ideas, positions, and open problems to the workshop. The submission process is facilitated through OpenReview, allowing for a streamlined review and feedback mechanism.
More Information
The ARLET workshop is designed to strengthen the community’s efforts in aligning theoretical frameworks with practical implementations in reinforcement learning. By encouraging submissions that outline open problems and innovative ideas, the workshop aims to create a collaborative environment that can lead to significant advancements in the field.
Conclusion
Researchers and practitioners in the field of reinforcement learning are encouraged to participate in this workshop by submitting their work. This is an excellent opportunity to engage with leading experts and contribute to the ongoing dialogue in the community. Stay updated by following the workshop on social media platforms like X and Bluesky. Explore, apply, and share your insights with the ARLET community!
Category: CFP & Deadlines
Tags: reinforcement learning, neurips, workshop, ml, ai, experimentalists, theorists, collaboration, research, open problems
