CoRL 2025PastOther

CoRL 2025 Workshop RemembeRL

CoRL 2025

Official website ↗OpenReview venue ↗See all CoRL workshops →✎ Edit this entry

Submission deadline: Sep 6, 2025, 14:00 UTC
imported from OpenReview — check the website for extensions
Submission portal: OpenReview
Notes: Topics were auto-suggested and may be imprecise — edits welcome.

Accepted papers (16)

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

cVLA: Towards Efficient Camera-Space VLAs
Max Argus, Jelena Bratulić, Houman Masnavi, Maksim Velikanov, Nick Heppert, Abhinav Valada, Thomas Brox · PDF
Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations
William Sharpless · PDF
DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation
Jiangran Lyu · PDF
ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL
Egor Cherepanov, Alexey Kovalev, Aleksandr Panov · PDF
GRIM: Task-Oriented Grasping with Conditioning on Generative Examples
Shailesh, Alok Raj, Nayan Kumar, Priya Shukla, Andrew Melnik, Michael Beetz, Gora Chand Nandi · PDF
In-Context Adaptation for Generalizable Imitation Learning
Junlin Xie, Xu Luo, Hao Wu, Ji Zhang, Youguang Xing, Lianli Gao, Jingkuan Song · PDF
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Egor Cherepanov, Nikita Kachaev, Alexey Kovalev, Aleksandr Panov · PDF
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
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
Q-Guided Flow Q-Learning
Yejun Jang, Hong Chul Nam, Jeong Min Park, GIMIN BAE, Hyun Kwon · PDF
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
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
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
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
Steering Diffusion Policies with Value-Guided Denoising
Hanming Ye · PDF
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

Accepted papers (16)

☆cVLA: Towards Efficient Camera-Space VLAs

☆Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations

☆DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation

☆ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL

☆GRIM: Task-Oriented Grasping with Conditioning on Generative Examples

☆In-Context Adaptation for Generalizable Imitation Learning

☆Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning

☆mindmap: Spatial Memory in Deep Feature Maps for 3D Action Policies

☆Model Predictive Adversarial Imitation Learning for Planning from Observation

☆Q-Guided Flow Q-Learning

☆ReMoBot: Retrieval-Based Few-Shot Imitation Learning for Mobile Manipulation with Vision Foundation Models

☆ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze

☆RoboSSM: Scalable In-context Imitation Learning via State-Space Models

☆SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation

☆Steering Diffusion Policies with Value-Guided Denoising

☆Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

cVLA: Towards Efficient Camera-Space VLAs

Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations

DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation

ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL

GRIM: Task-Oriented Grasping with Conditioning on Generative Examples

In-Context Adaptation for Generalizable Imitation Learning

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning

mindmap: Spatial Memory in Deep Feature Maps for 3D Action Policies

Model Predictive Adversarial Imitation Learning for Planning from Observation

Q-Guided Flow Q-Learning

ReMoBot: Retrieval-Based Few-Shot Imitation Learning for Mobile Manipulation with Vision Foundation Models

ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze

RoboSSM: Scalable In-context Imitation Learning via State-Space Models

SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation

Steering Diffusion Policies with Value-Guided Denoising

Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation