RLC 2025 Workshop Finding the Frame Submissions

lluminating the three dogmas of reinforcement learning under evolutionary light
Mani Hamidi, Terrence Deacon
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Finding the FrameStack: Learning What to Remember for Non-Markovian Reinforcement Learning
Geraud Nangue Tasse, Matthew Riemer, Benjamin Rosman, Tim Klinger
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Remembering the Markov Property in Cooperative MARL
Kale-ab Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos Storkey
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Reframing Multi-Agent Reinforcement Learning with Variational Inequalities
Baraah A. M. Sidahmed, Tatjana Chavdarova
- Published: 01 Jul 2025, Last Modified: 23 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
General Value Discrepancies Mitigate Partial Observability in Reinforcement Learning
Peter Koepernik, Ruo Yu Tao, Ronald Parr, George Konidaris, Cameron Allen
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Zero-Incentive Dynamics: a look at reward sparsity through the lens of unrewarded subgoals
Yannick Molinghen, Tom Lenaerts
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling
Nicholas E. Corrado, Josiah P. Hanna
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning
Sid Bharthulwar, Stone Tao, Hao Su
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
On Temporal Credit Assignment and Data-Efficient Reinforcement Learning
Dilip Arumugam, Thomas L. Griffiths
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Learning Context-Sensitive State and Action Abstractions for Reinforcement Learning with Parameterized Actions
Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Putting the Spotlight on the Initial State Distribution
Aditya Makkar, Aarshvi Gajjar, Eugene Vinitsky
- Published: 01 Jul 2025, Last Modified: 23 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
A perspective on fluid mechanical environments for challenges in reinforcement learning
Shruti Mishra, Michael Chang, Vamsi Spandan Arza, Shmuel Rubinstein
- Published: 01 Jul 2025, Last Modified: 01 Aug 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Agent-centric learning: from external reward maximization to internal knowledge curation
Hanqi Zhou, Fryderyk Mantiuk, David G Nagy, Charley M Wu
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Analogy making as amortised model construction
David G Nagy, Tingke Shen, Hanqi Zhou, Charley M Wu, Peter Dayan
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
What Matters for Maximizing Data Reuse In Value-based Deep Reinforcement Learning
Roger Creus Castanyer, Glen Berseth, Pablo Samuel Castro
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
A Unified MDP Framework for Solving Robust, Convex, Multi-Discount Constraints, and Beyond
Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Wataru Kumagai, Paavo Parmas, Yutaka Matsuo
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Which Rewards Matter? Reward Selection for Reinforcement Learning from Limited Feedback
Shreyas Chaudhari, Renhao Zhang, Philip S. Thomas, Bruno Castro da Silva
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
A Geometric Lens on RL Environment Complexity Based on Ricci Curvature
Ali Saheb Pasand, Pablo Samuel Castro, Pouya Bashivan
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Thinking is Another Form of Control
Josiah P. Hanna, Nicholas E. Corrado
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning
Théo Vincent, Yogesh Tripathi, Tim Faust, Yaniv Oren, Jan Peters, Carlo D'Eramo
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Reconciling Set-Valued Policy & Dead-End Discovery in RL: An Empirical Analysis
Sixing Wu, Shengpu Tang
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Off by a Beat: Temporal Misalignment in Offline RL for Healthcare
Shengpu Tang, Jiayu Yao, Jenna Wiens, Sonali Parbhoo
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Distribution Parameter Actor-Critic: Shifting the Agent-Environment Boundary for Diverse Action Spaces
Jiamin He, A. Rupam Mahmood, Martha White
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Reinforcement Learning under State and Outcome Uncertainty: A Foundational Distributional Perspective
Larry Preuett, Qiuyi Zhang, Muhammad Aurangzeb Ahmad
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone
Is Exploration or Optimization the Problem for Deep Reinforcement Learning?
Glen Berseth
- Published: 01 Jul 2025, Last Modified: 21 Jul 2025
- Finding the Frame (RLC 2025)
- Readers: Everyone