CoRL 2025 Past Other

CoRL 2025 Workshop RemembeRL

CoRL 2025

Submission deadline
Sep 6, 2025, 14:00 UTC
imported from OpenReview — check the website for extensions
Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (16)

Fetched from OpenReview (v2) on 2026-06-10.

  1. cVLA: Towards Efficient Camera-Space VLAs

    Max Argus, Jelena Bratulić, Houman Masnavi, Maksim Velikanov, Nick Heppert, Abhinav Valada, Thomas Brox · PDF
  2. Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations

    William Sharpless · PDF
  3. DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation

    Jiangran Lyu · PDF
  4. ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL

    Egor Cherepanov, Alexey Kovalev, Aleksandr Panov · PDF
  5. GRIM: Task-Oriented Grasping with Conditioning on Generative Examples

    Shailesh, Alok Raj, Nayan Kumar, Priya Shukla, Andrew Melnik, Michael Beetz, Gora Chand Nandi · PDF
  6. In-Context Adaptation for Generalizable Imitation Learning

    Junlin Xie, Xu Luo, Hao Wu, Ji Zhang, Youguang Xing, Lianli Gao, Jingkuan Song · PDF
  7. Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning

    Egor Cherepanov, Nikita Kachaev, Alexey Kovalev, Aleksandr Panov · PDF
  8. mindmap: Spatial Memory in Deep Feature Maps for 3D Action Policies

    Remo Steiner, Alexander Millane, David Tingdahl, Clemens Volk, Vikram Ramasamy, Xinjie Yao, Peter Du, Soha Pouya, Shiwei Sheng · PDF
  9. Model Predictive Adversarial Imitation Learning for Planning from Observation

    Tyler Han, Yanda Bao, Bhaumik Mehta, Gabriel Guo, Anubhav Vishwakarma, Emily Kang, Sanghun Jung, Rosario Scalise, Jason Liren Zhou, Bryan Xu, Byron Boots · PDF
  10. Q-Guided Flow Q-Learning

    Yejun Jang, Hong Chul Nam, Jeong Min Park, GIMIN BAE, Hyun Kwon · PDF
  11. ReMoBot: Retrieval-Based Few-Shot Imitation Learning for Mobile Manipulation with Vision Foundation Models

    Yuying Zhang, Wenyan Yang, Francesco Verdoja, Ville Kyrki, Joni Pajarinen · PDF
  12. ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze

    Chunyu Xuan, Yazhe Niu, Yuan Pu, Shuai Hu, Yu Liu, Jing Yang · PDF
  13. RoboSSM: Scalable In-context Imitation Learning via State-Space Models

    Youngju Yoo, Jiaheng Hu, Yifeng Zhu, Bo Liu, qiang liu, Roberto Martín-Martín, Peter Stone · PDF
  14. SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation

    Haoquan Fang, Markus Grotz, Wilbert Pumacay, Yi Ru Wang, Dieter Fox, Ranjay Krishna, Jiafei Duan · PDF
  15. Steering Diffusion Policies with Value-Guided Denoising

    Hanming Ye · PDF
  16. Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

    Egor Cherepanov, Nikita Kachaev, Artem Zholus, Alexey Kovalev, Aleksandr Panov · PDF