RLC 2025 Conference Submissions

Multiple-Frequencies Population-Based Training
Waël Doulazmi, Auguste Lehuger, Marin Toromanoff, Valentin Charraut, Thibault Buhet, Fabien Moutarde
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Sampling from Energy-based Policies using Diffusion
Vineet Jain, Tara Akhound-Sadegh, Siamak Ravanbakhsh
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control
Justin Turnau, Longchao Da, Khoa Vo, Ferdous Al Rafi, Shreyas Bachiraju, Tiejin Chen, Hua Wei
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
From Explainability to Interpretability: Interpretable Reinforcement Learning Via Model Explanations
Peilang Li, Umer Siddique, Yongcan Cao
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Building Sequential Resource Allocation Mechanisms without Payments
Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Zero-Shot Reinforcement Learning Under Partial Observability
Scott Jeen, Tom Bewley, Jonathan Cullen
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Modelling human exploration with light-weight meta reinforcement learning algorithms
Thomas D. Ferguson, Alona Fyshe, Adam White
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Rethinking the Foundations for Continual Reinforcement Learning
Esraa Elelimy, David Szepesvari, Martha White, Michael Bowling
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Epistemically-guided forward-backward exploration
Núria Armengol Urpí, Marin Vlastelica, Georg Martius, Stelian Coros
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
An Optimisation Framework for Unsupervised Environment Design
Nathan Monette, Alistair Letcher, Michael Beukman, Matthew Thomas Jackson, Alexander Rutherford, Alexander David Goldie, Jakob Nicolaus Foerster
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
DeepCubeAF: A Foundation Model for Generalizable Pathfinding Heuristics
Vedant Khandelwal, Amit Sheth, Forest Agostinelli
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Intrinsically Motivated Discovery of Temporally Abstract Graph-based Models of the World
Akhil Bagaria, Anita De Mello Koch, Rafael Rodriguez-Sanchez, Sam Lobel, George Konidaris
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps
Motoki Omura, Yusuke Mukuta, Kazuki Ota, Takayuki Osa, Tatsuya Harada
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Seldonian Reinforcement Learning for Ad Hoc Teamwork
Edoardo Zorzi, Alberto Castellini, Leonidas Bakopoulos, Georgios Chalkiadakis, Alessandro Farinelli
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
How Should We Meta-Learn Reinforcement Learning Algorithms?
Alexander David Goldie, Zilin Wang, Jakob Nicolaus Foerster, Shimon Whiteson
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Hybrid Classical/RL Local Planner for Ground Robot Navigation
Vishnu Dutt Sharma, Jeongran Lee, Matthew Andrews, Ilija Hadžić
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Investigating the Utility of Mirror Descent in Off-policy Actor-Critic
Samuel Neumann, Jiamin He, Adam White, Martha White
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Concept-Based Off-Policy Evaluation
Ritam Majumdar, Jack Teversham, Sonali Parbhoo
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
On the Effect of Regularization in Policy Mirror Descent
Jan Felix Kleuker, Aske Plaat, Thomas M. Moerland
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Gaussian Process Q-Learning for Finite-Horizon Markov Decision Process
Maximilian Bloor, Tom Savage, Calvin Tsay, Antonio Del rio chanona, Max Mowbray
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Value Bonuses using Ensemble Errors for Exploration in Reinforcement Learning
Abdul Wahab, Raksha Kumaraswamy, Martha White
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning
Carlo Romeo, Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Exploration-Free Reinforcement Learning with Linear Function Approximation
Civitavecchia Luca, Matteo Papini
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Syllabus: Portable Curricula for Reinforcement Learning Agents
Ryan Sullivan, Ryan Pégoud, Ameen Ur Rehman, Xinchen Yang, Junyun Huang, Aayush Verma, Nistha Mitra, John P Dickerson
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone
Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits
Yannik Mahlau, Maximilian Schier, Christoph Reinders, Frederik Schubert, Marco Bügling, Bodo Rosenhahn
- Published: 09 May 2025, Last Modified: 28 May 2025
- RLC 2025
- Readers: Everyone