RLC 2025 Conference Submissions

Learning to Explore in Diverse Reward Settings via Temporal-Difference-Error Maximization
Sebastian Griesbach, Carlo D'Eramo
- Published: 09 May 2025, Last Modified: 02 Jun 2025
- RLC 2025
- Readers: Everyone
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Alihan Hüyük, Arndt Ryo Koblitz, Atefeh Mohajeri Moghaddam, Matthew Andrews
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Eau De $Q$-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning
Théo Vincent, Tim Faust, Yogesh Tripathi, Jan Peters, Carlo D'Eramo
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean, Evangelos Chatzaroulas, J K Terry, Isaac Woungang, Nariman Farsad, Pablo Samuel Castro
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Fast Adaptation with Behavioral Foundation Models
Harshit Sikchi, Andrea Tirinzoni, Ahmed Touati, Yingchen Xu, Anssi Kanervisto, Scott Niekum, Amy Zhang, Alessandro Lazaric, Matteo Pirotta
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Impoola: The Power of Average Pooling for Image-based Deep Reinforcement Learning
Raphael Trumpp, Ansgar Schäfftlein, Mirco Theile, Marco Caccamo
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
A Finite-Sample Analysis of an Actor-Critic Algorithm for Mean-Variance Optimization in a Discounted MDP
Tejaram Sangadi, Prashanth L. A., Krishna Jagannathan
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Recursive Reward Aggregation
Yuting Tang, Yivan Zhang, Johannes Ackermann, Yu-Jie Zhang, Soichiro Nishimori, Masashi Sugiyama
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Efficient Information Sharing for Training Decentralized Multi-Agent World Models
Xiaoling Zeng, Qi Zhang
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Quantitative Resilience Modeling for Autonomous Cyber Defense
Xavier Cadet, Simona Boboila, Edward Koh, Peter Chin, Alina Oprea
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget
Dengwang Tang, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
Kefan Song, Jin Yao, Runnan Jiang, Rohan Chandra, Shangtong Zhang
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Benedict Hildisch, Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Andrea Carron, Michele Magno
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
The Confusing Instance Principle for Online Linear Quadratic Control
Waris Radji, Odalric-Ambrym Maillard
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Peter Chin, Alina Oprea
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Non-Stationary Latent Auto-Regressive Bandits
Anna L. Trella, Walter H. Dempsey, Asim Gazi, Ziping Xu, Finale Doshi-Velez, Susan Murphy
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
AVID: Adapting Video Diffusion Models to World Models
Marc Rigter, Tarun Gupta, Agrin Hilmkil, Chao Ma
- Published: 09 May 2025, Last Modified: 09 May 2025
- RLC 2025
- Readers: Everyone
Reinforcement Learning from Human Feedback with High-Confidence Safety Guarantees
Yaswanth Chittepu, Blossom Metevier, Will Schwarzer, Scott Niekum, Philip S. Thomas
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
When and Why Hyperbolic Discounting Matters for Reinforcement Learning Interventions
Ian M. Moore, Eura Nofshin, Siddharth Swaroop, Susan Murphy, Finale Doshi-Velez, Weiwei Pan
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies
William Solow, Sandhya Saisubramanian, Alan Fern
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Pareto Optimal Learning from Preferences with Hidden Context
Ryan Bahlous-Boldi, Li Ding, Lee Spector, Scott Niekum
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
Abhinav Bhatia, Samer B. Nashed, Shlomo Zilberstein
- Published: 09 May 2025, Last Modified: 09 May 2025
- RLC 2025
- Readers: Everyone
Uncertainty Prioritized Experience Replay
Rodrigo Antonio Carrasco-Davis, Sebastian Lee, Claudia Clopath, Will Dabney
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies
Jiaqi Chen, Ji Shi, Cansu Sancaktar, Jonas Frey, Georg Martius
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Improved Regret Bound for Safe Reinforcement Learning via Tighter Cost Pessimism and Reward Optimism
Kihyun Yu, Duksang Lee, William Overman, Dabeen Lee
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone