ICML 2024 Workshop RLControlTheory Submissions

Finite Sample Identification: From Frequency to Time Domain
Anastasios Tsiamis, Mohamed Abdalmoaty, Roy S. Smith, John Lygeros
- Published: 17 Jun 2024, Last Modified: 25 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria
Andi Nika, Jonathan Nöther, Adish Singla, Goran Radanovic
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- FoRLaC Poster
- Readers: Everyone
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Nicholas H. Barbara, Ruigang Wang, Ian Manchester
- Published: 17 Jun 2024, Last Modified: 16 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits
Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu
- Published: 17 Jun 2024, Last Modified: 27 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning
Junyan Liu, Yunfan Li, Ruosong Wang, Lin Yang
- Published: 17 Jun 2024, Last Modified: 23 Jul 2024
- FoRLaC Poster
- Readers: Everyone
DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
Michael Cummins, Alberto Padoan, Keith Moffat, John Lygeros, Florian Dorfler
- Published: 17 Jun 2024, Last Modified: 26 Jul 2024
- FoRLaC Poster
- Readers: Everyone
SMX: Sequential Monte Carlo Planning for Expert Iteration
Edan Toledo, Matthew Macfarlane, Donal John Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Robust Best-of-Both-Worlds Gap Estimators Based on Importance-Weighted Sampling
Sarah Clusiau, Saeed Masoudian, Yevgeny Seldin
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Event-Based Federated Q-Learning
Guner Dilsad ER, Michael Muehlebach
- Published: 17 Jun 2024, Last Modified: 24 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
Zhiyong Wang, Jize Xie, Yi Chen, John C.S. Lui, Dongruo Zhou
- Published: 17 Jun 2024, Last Modified: 16 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Hierarchical Reinforcement Learning and Model Predictive Control for Strategic Motion Planning in Autonomous Racing
Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl
- Published: 17 Jun 2024, Last Modified: 26 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Identifiable latent bandits: Combining observational data and exploration for personalized healthcare
Ahmet Zahid Balcıoğlu, Emil Carlsson, Fredrik D. Johansson
- Published: 17 Jun 2024, Last Modified: 26 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Learning to Explore with Lagrangians for Bandits under Unknown Constraints
Udvas Das, Debabrota Basu
- Published: 17 Jun 2024, Last Modified: 18 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Essentially Sharp Estimates on the Entropy Regularization Error in Discounted Markov Decision Processes
Johannes Müller, Semih Cayci
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- FoRLaC Poster
- Readers: Everyone
A Pontryagin Perspective on Reinforcement Learning
Onno Eberhard, Claire Vernade, Michael Muehlebach
- Published: 17 Jun 2024, Last Modified: 27 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations
Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön
- Published: 17 Jun 2024, Last Modified: 28 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Recommender System Design via Online Feedback Optimization
Sanjay Chandrasekaran, Giulia De Pasquale, Giuseppe Belgioioso, Florian Dorfler
- Published: 17 Jun 2024, Last Modified: 26 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Learning HJB Viscosity Solutions with PINNs for Continuous-Time Reinforcement Learning
Alena Shilova, Thomas Delliaux, Philippe Preux, Bruno Raffin
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Bandits with Abstention under Expert Advice
Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
- Published: 17 Jun 2024, Last Modified: 27 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Sum-Max Submodular Bandits
Stephen Pasteris, Alberto Rumi, Fabio Vitale, Nicolò Cesa-Bianchi
- Published: 17 Jun 2024, Last Modified: 27 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Jing Huo, Yang Gao
- Published: 17 Jun 2024, Last Modified: 22 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Compatible Gradient Approximations for Actor-Critic Algorithms
Baturay Saglam, Dionysis Kalogerias
- Published: 17 Jun 2024, Last Modified: 17 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Truly No-Regret Learning in Constrained MDPs
Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Improved Algorithms for Contextual Dynamic Pricing
Matilde Tullii, Solenne Gaucher, Nadav Merlis, Vianney Perchet
- Published: 17 Jun 2024, Last Modified: 08 Jul 2024
- FoRLaC Poster
- Readers: Everyone