CALL FOR PAPERS:

We invite submissions to the CausalRL Workshop, which will be held on August 5th, 2025, as part of the Reinforcement Learning Conference (RLC 2025). This workshop brings together researchers exploring the intersection of Reinforcement Learning (RL) and Causal Inference, with a focus on advancing decision-making under uncertainty through causal reasoning.

Topics of Interest:

We welcome contributions including theoretical insights, algorithmic innovations, empirical studies, and position papers on topics such as (but not limited to):

• Causal representation learning for RL

• Causal discovery and structural learning in versatile environments (MDPs, POMDPs, or even general SCMs)

• Policy/value learning via counterfactual reasoning

• Offline RL with unobserved confounders

• Causal approaches to generalization, robustness, and safe decision-making

• Multi-agent learning

By bridging RL and Causality, this workshop aims to foster cross-disciplinary collaboration, define open challenges, and shape future research at the intersection of these two fields.

SUBMISSION INSTRUCTIONS

• Submission format: The paper must have between 4 and 8 content pages (excluding the references and appendices).

• Format: RLC 2025 author kit.

• Submission portal: Open Review  

SELECTION PROCESS

• The review process will be double-blind.

• Works that have been submitted or published to other venues are welcome.

• All the accepted papers will be presented as posters at the workshop.

• A selected set of papers will be given spotlight presentations (10 minutes each).

• For each accepted paper, at least one co-author must register for RLC 2025 and present the work during the poster sessions.

• Publishing policy: TBA