Dear All,

We are excited to announce the PTA: From Pretrained Representations to Acting Agents workshop at NeurIPS 2026 in Sydney, Australia! 📋 We’re calling for submissions!

⏰ Paper submission deadline: Aug 29, 2026 (AoE) 🌐 Website: https://ptaworkshop.github.io/ 📋 Submission link: https://openreview.net/group?id=NeurIPS.cc/2026/Workshop/PTA

Our goal is to explore how to obtain actionable pretrained representations and align them with control agents at test time—bridging pretraining and test-time decision making.

Call for Papers: - Specific topics include, but are not limited to: (1) What makes a pretrained representation actionable? (2) How to align with and use pretrained representations at test time? (3) How to adapt pretrained knowledge to new tasks? (4) How to evaluate actionable representations? (5) What can go wrong when pretrained agents act?

- We welcome both short papers (4 pages) and long papers (up to 9 pages), formatted using the NeurIPS template and submitted through OpenReview. - All accepted contributions will be presented during the poster sessions. - A selected number of submissions will also be invited for contributed talks. - Submissions are non-archival and may be under review or concurrently submitted elsewhere. We especially encourage ongoing and unpublished work.

If you are excited about connecting representation learning, RL, planning, and test-time decision making, we hope you’ll join us in Sydney! 🦘

Best regards, The Organizing Team Ping-Chun Hsieh (NYCU), Kuang-Huei Lee (Google DeepMind), Bo Dai (Georgia Tech), Yen-Ling Kuo (UVA), Georgia Chalvatzaki (TU Darmstadt), Karen Leung (UW / NVIDIA), Co Yong (NTU), Claas Voelcker (UT Austin)