Outstanding Paper Award Winners - 1/2 @ RLC 2025
Description
We caught up with the RLC Outstanding Paper award winners for your listening pleasure.
Recorded on location at Reinforcement Learning Conference 2025, at University of Alberta, in Edmonton Alberta Canada in August 2025.
Featured References
Scientific Understanding in Reinforcement Learning
How Should We Meta-Learn Reinforcement Learning Algorithms?
Alexander David Goldie, Zilin Wang, Jakob Nicolaus Foerster, Shimon Whiteson
Tooling, Environments, and Evaluation for Reinforcement Learning
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
Resourcefulness in Reinforcement Learning
PufferLib 2.0: Reinforcement Learning at 1M steps/s
Joseph Suarez
Theory of Reinforcement Learning
Deep Reinforcement Learning with Gradient Eligibility Traces
Esraa Elelimy, Brett Daley, Andrew Patterson, Marlos C. Machado, Adam White, Martha White
United States
