[CFP] Reinforcement Learning and Video Games Workshop @ RLC 2026

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Miguel Vasco

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5:27 AM (8 hours ago) 5:27 AM
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Hi everyone,
We invite you to submit your work to the second edition of the Reinforcement Learning and Video Games (RLVG) workshop, which will be held on August 15th, 2026, as part of the Reinforcement Learning Conference (RLC 2026).

Call for Papers:

We invite submissions about recent advances, challenges, and applications in the intersection of reinforcement learning and videogames. The topics of interest include, but are not limited to, the following topics:

- Data Efficiency in Games: sample-efficient, offline, and dataset-driven reinforcement learning from gameplay data;
- Open-ended Learning for Games: continual and lifelong reinforcement learning in video games;
- World Models for Games: model-based reinforcement learning and learned world dynamics in video game engines;
- Foundation Models for Games: multimodal, generative, and language-conditioned agents for game playing and development;
- Alignment and Evaluation in Games: reward learning, preference learning, human-in-the-loop learning and evaluation frameworks that assess agent behavior with respect to human, designer, and player intent;
- Multi-agent Systems in Games: self-play, population-based training, and emergent behavior in competitive and cooperative settings;
- Benchmarks and Real-world Deployment: design of reinforcement learning benchmarks derived from modern video games, and translation of research methods into practical tools for NPC control, quality assurance, and procedural content generation.

Confirmed Speakers:
- Alex Kearney, Artificial.Agency
- Marlos C. Machado, University of Alberta
- Martin Singh-Blom, Embark Studios
- Sam Devlin, Meta Superintelligence Labs
- Pete Wurman, Sony AI
- Ida Momennejad, Microsoft Research

Important Dates:
- Submission Deadline: May 20th, 2025 (AOE)
- Acceptance Notification: June 5th, 2025

Submission Details:
We accept both long-form (8 pages) and short-form (4 pages) papers, excluding references and appendices. We strongly encourage submissions from authors across academia and industry. In addition to mature results, we also welcome early-stage ideas, position papers, and negative results that can spark meaningful discussion within the community. For more information, please refer to our website.

Contacts:
Please send your questions to rlvg.workshop[at]gmail.com, and follow our Bluesky account u/rlvgworkshop.bsky.social for more updates.

Video Recordings from past editions:
If you missed last year's edition, you can check out the talk and panel recordings here: https://www.youtube.com/playlist?list=PL03i5I0G-pNAJ7G7G78-xBlzWmPv1iRCF
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