Accepted Papers

Here are the papers accepted to RLC 2025 Workshop on Practical Insights into RL for Real Systems:

1. “Industrial insights of practical deep reinforcement learning projects” Energy
   Antoine Plissonneau-Duquène, Hugo Massonnat, Elie Kadoche, Louis Verny, Florence Carton

2. “Exploration for the Efficient Deployment of Reinforcement Learning Agents” Supply Chain Management
   Max Rudolph, Siddhant Agarwal, Omer Gottesman, Amy Zhang, Akhil Bagaria, Sohrab Andaz, Udaya Ghai, Carson Eisenach

3. “Dynamics Models for Offline Hyperparameter Selection in Water Treatment” Industrial Control
   Jordan Coblin, Han Wang, Martha White, Adam White

4. “Data Center Cooling System Optimization Using Offline Reinforcement Learning” Energy
   Xianyuan Zhan, Xiangyu Zhu, Peng Cheng, Xiao Hu, Ziteng He, Hanfei Geng, Jichao Leng, Huiwen Zheng, Chenhui Liu, Tianshun Hong, Yan Liang, Yunxin Liu, Feng Zhao

5. “Towards Understanding the Challenges of Applying Reinforcement Learning to the Power Grid” Energy
   Matthew Kyle Schlegel, Martha White, Mostafa Farrokhabadi, Matthew E. Taylor

6. “Off by a Beat: Temporal Misalignment in Offline RL for Healthcare” Healthcare
   Shengpu Tang, Jiayu Yao, Jenna Wiens, Sonali Parbhoo

7. “FastDP: Deployable Diffusion Policy with Fast Inference Speed” RL
   Chang Shi, Amy Zhang

8. “Personalizing Fairness: Adaptive RL with User Diversity Preference for Recommender Systems” Recommender systems
   Luana Guedes Barros Martins, Bryan Lincoln Marques de Oliveira, Bruno Brandão, Telma Woerle de Lima Soares, Marlesson Santana

9. “Exploring Time-Step Size in Reinforcement Learning for Sepsis Treatment” Healthcare
   Yingchuan Sun, Shengpu Tang

10. “Transparent Uncertainty Quantification for Offline Reinforcement Learning in Chlor-Alkali Control” Industrial Control
    Jesse Thibodeau, Étienne Tétreault-Pinard, Said Berriah

11. “Reinforcement Learning for Debt Pricing: A Case Study in Financial Services” Finance
    Bruno Brandão, Luana Guedes Barros Martins, Bryan Lincoln Marques de Oliveira, Murilo Lopes da Luz, Eduardo Garcia, Luckeciano Carvalho Melo, Marcos Vinicius da Silva, Renato Gnecco Avelar, Arlindo Rodrigues Galvão Filho, Anderson Da Silva Soares, Telma Woerle de Lima Soares

12. “Scalable Tree Search over Graphs with Learned Action Pruning for Power Grid” Energy
    Florence Cloutier, Cyrus Neary, Adriana Hugessen, Viktor Todosijević, Zina Kamel, Glen Berseth

13. “From Game-Playing to Self-Driving: Comparing AlphaGo vs AlphaZero Approaches for Driving” Self-driving
    Ellen Xu, Robert J. Moss, Mykel Kochenderfer

14. “SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2” Vision
    Alen Adamyan, Tomáš Čížek, Matej Straka, Klara Janouskova, Martin Schmid

15. “Between Life and Death: Examining Sparse Reward Designs in Healthcare RL” Healthcare
    Yuxuan Shi, Matthew Lafrance, Shengpu Tang

16. “Exploring Search for FPGA Placement using RL” Hardware Design
    Shang Wang, Owen Randall, Matthew E. Taylor

17. “Closed-Loop Reinforcement Learning for Short-Term Load Forecasting over a REST API Framework” Energy Julien Guité-Vinet, Alexandre Blondin Massé, Éric Beaudry, Arnaud Zinflou

18. “A Clean Slate for Offline Reinforcement Learning” RL
    Matthew Thomas Jackson, Uljad Berdica, Jarek Luca Liesen, Shimon Whiteson, Jakob Nicolaus Foerster

19. “Adaptive PID Control for Setpoint Tracking Using Reinforcement Learning: A Case Study for Blood-Glucose Control” Healthcare
    Anna Hakhverdyan, Golnaz Mesbahi, Martha White

20. “Efficient Management of Day-Ahead Energy Markets via Multi-Agent Reinforcement Learning - a Hybrid Model Case Study” Energy
    Matan Levy, Sarah Keren, Itay Segev, Alexander Tuisov