RLC 2025 Conference Submissions

Your Learned Constraint is Secretly a Backward Reachable Tube
Mohamad Qadri, Gokul Swamy, Jonathan Francis, Michael Kaess, Andrea Bajcsy
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes
Juan Sebastian Rojas, Chi-Guhn Lee
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Average-Reward Soft Actor-Critic
Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V Kulkarni
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Cascade - A sequential ensemble method for continuous control tasks
Robin Schmöcker, Alexander Dockhorn
- Published: 09 May 2025, Last Modified: 29 May 2025
- RLC 2025
- Readers: Everyone
Effect of a slowdown correlated to the current state of the environment on an asynchronous learning architecture
Idriss Abdallah, Laurent CIARLETTA, Patrick HENAFF, Jonathan Champagne, Matthieu BONAVENT
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Chargax: A JAX Accelerated EV Charging Simulator
Koen Ponse, Jan Felix Kleuker, Thomas M. Moerland, Aske Plaat
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
Mirco Theile, Lukas Dirnberger, Raphael Trumpp, Marco Caccamo, Alberto Sangiovanni-Vincentelli
- Published: 09 May 2025, Last Modified: 09 May 2025
- RLC 2025
- Readers: Everyone
Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
Aaron Dharna, Cong Lu, Jeff Clune
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks
Joery A. de Vries, Jinke He, Mathijs de Weerdt, Matthijs T. J. Spaan
- Published: 09 May 2025, Last Modified: 09 May 2025
- RLC 2025
- Readers: Everyone
Collaboration Promotes Group Resilience in Multi-Agent RL
Ilai Shraga, Guy Azran, Matthias Gerstgrasser, Ofir Abu, Jeffrey Rosenschein, Sarah Keren
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Finite-Time Analysis of Minimax Q-Learning
Narim Jeong, Donghwan Lee
- Published: 09 May 2025, Last Modified: 30 May 2025
- RLC 2025
- Readers: Everyone
A Finite-Time Analysis of Distributed Q-Learning
Han-Dong Lim, Donghwan Lee
- Published: 09 May 2025, Last Modified: 09 May 2025
- RLC 2025
- Readers: Everyone
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
Qinqing Zheng, Mikael Henaff, Amy Zhang, Aditya Grover, Brandon Amos
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
Takuya Hiraoka, Takashi Onishi, Guanquan Wang, Yoshimasa Tsuruoka
- Published: 09 May 2025, Last Modified: 09 May 2025
- RLC 2025
- Readers: Everyone
Understanding the Effectiveness of Learning Behavioral Metrics in Deep Reinforcement Learning
Ziyan Luo, Tianwei Ni, Pierre-Luc Bacon, Doina Precup, Xujie Si
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Reinforcement Learning for Finite Space Mean-Field Type Game
Kai Shao, Jiacheng Shen, Chijie An, Mathieu Lauriere
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone