1. CACTO-BIC: Scalable Actor-Critic Learning via Biased Sampling and GPU-Accelerated Trajectory Optimization
   Elisa Alboni, Pietro Noah Crestaz, Elias Fontanari, Andrea Del Prete
2. Beyond Reactive Adaptation: Long-Horizon Memory for Autonomous Racing via State Space Models
   Grzegorz Czechmanowski, Jan Węgrzynowski, Piotr Kicki, Krzysztof Walas
3. Mobile robots exploration strategies and requirements: A systematic mapping study
   Davide Brugali, Luca Muratore
4. IFG: Internet-Scale Guidance for Functional Grasping Generation
   Muxin Liu, Mingxuan Li, Kenneth Shaw, Deepak Pathak
5. LLM-Guided Future Hypotheses for Horizon-Aware Exploration in Multi-Step Robot Manipulation
   Mohammad Khoshnazar, Andrew Melnik, Michael Beetz
6. MineXplore: An Open-Source Reinforcement Learning Exploration Benchmark for GNSS-Denied Underground Environment
   Badrikanath Praharaj, Sreeram M.V, ABHISHEK S
7. Towards Semantic-Aware Active Gas Distribution Mapping in Unknown Cluttered Environments
   Mal Fazliu, Cunjia Liu
8. Stability-Guided Exploration for Diverse Motion Generation
   Eckart Cobo-Briesewitz, Tilman Burghoff, Denis Shcherba, Armand Jordana, Marc Toussaint
9. Representation-Driven Exploration for Long-Horizon Manipulation
   Andrea Protopapa, Davide Buoso, Francesca Pistilli, Giuseppe Averta
10. From Exploration to Reuse: An Embodied Agent Framework for Manipulation Skill Learning
    Mohamed Roshdi, Alexander Zorn, Jörg Kindermann, Hermann Blum
11. Multi-Robot Frontier-Based Exploration under Uncertainty with SLAM and Temporal Map Fusion
    Nandhini Sriram, Shubhankit Tewari, Narayani Adane, Sudharsan, Ajan Muthuraj, Atriya Biswas
12. Variable-Resolution Virtual Map Guided Informed Tree Search for Autonomous USV Exploration
    Ye Li, Mal Fazliu, Yewei Huang, Alberto Quattrini Li, Brendan Englot, Cunjia Liu, Yuanchang Liu
13. Efficient Rare-Event Sampling in Diffusion Policies for Motion Discovery
    Dian Yu, Sebastian Sanokowski, Majid Khadiv
14. BEACON: Belief-Aware Replanning for Safe Online Motion Planning
    Ishita Banerjee, Maggie Yufei Bai, Soptorshi Ghosh, Rhea Senan, Ayushi Mehrotra
15. Coupling-Aware Planner Exploration for Shared-Workspace Multi-Manipulator Motion Planning
    Rahul Vimalkanth
16. Truncated Gaussian Policy for Debiased Exploration in Continuous Control
    Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang
17. GPS-Denied Rover Motion Regulation as a Physically Grounded POMDP for Recurrent Reinforcement Learning
    Saki Omi, Miguel Olivares-Mendez
18. Graph-Structured Reinforcement Learning for Controlling a Transformable-Wheel Robot
    Haoqi Tang, James Clinton, Anthony J. Clark, Neil Chulani
19. CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks
    Seoyeon Choi, Kanghyun Ryu, Jonghoon Ock, Negar Mehr
20. Learning Temporally and State-Abstracted World Models for Long-Horizon Exploration
    William Huang, Benjamin Freed
21. Variable-Resolution Virtual Maps for Autonomous Exploration with Unmanned Surface Vehicles (USVs)
    Ye Li, Yewei Huang, Wenlong Gaozhang, Alberto Quattrini Li, Brendan Englot, Yuanchang Liu
22. From Simulation to Contact: A Modular Wrench-Space Deployment Stack for Multi-Task Robot Manipulation
    Aditya Narendra, Abdalla Swikir
23. Exploration-Exploitation Prompting: A Dual-Process Framework for Complex Mathematical Problem Solving
    Aniket Deroy
24. Feasibility-Constrained Diffusion-MPC for Discrete Combinatorial Planning: A Case Study on Tetris
    Haochuan Wang
25. Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
    Elias Malomgré, Pieter Simoens
26. Bayesian Optimization for Learning Nonlinear MPC in Autonomous Agent Navigation
    Lorenzo Ortolani, Gabriel Voss, Gabriele Beltrami, Francesco Dorati, Tommaso Felice Banfi