ICML 2024 Workshop RLControlTheory Submissions

Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage
Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh
- Published: 17 Jun 2024, Last Modified: 05 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery
Jie Feng, Haohan Zou, Yuanyuan Shi
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Randomized Confidence Bounds for Stochastic Partial Monitoring
Maxime Heuillet, Ola Ahmad, Audrey Durand
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Recurrent Natural Policy Gradient for POMDPs
Semih Cayci, Atilla Eryilmaz
- Published: 17 Jun 2024, Last Modified: 23 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Online Optimization of Closed-Loop Control Systems
Hao Ma, Melanie Zeilinger, Michael Muehlebach
- Published: 17 Jun 2024, Last Modified: 01 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Preference Elicitation for Offline Reinforcement Learning
Alizée Pace, Bernhard Schölkopf, Gunnar Ratsch, Giorgia Ramponi
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
$\alpha$-Fair Contextual Bandits
Siddhant Chaudhary, Abhishek Sinha
- Published: 17 Jun 2024, Last Modified: 04 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Online Performance Optimization of Nonlinear Systems: A Gray-Box Approach
Zhiyu He, Michael Muehlebach, Saverio Bolognani, Florian Dorfler
- Published: 17 Jun 2024, Last Modified: 17 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Chained Information-Theoretic Bounds and Tight Regret Rate for Linear Bandit Problems
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias Oechtering, Mikael Skoglund
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
A safe exploration approach to constrained Markov decision processes
Tingting Ni, Maryam Kamgarpour
- Published: 17 Jun 2024, Last Modified: 22 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Finite-time convergence to an $\epsilon$-efficient Nash equilibrium in potential games
Anna Maria Maddux, Reda Ouhamma, Maryam Kamgarpour
- Published: 17 Jun 2024, Last Modified: 22 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Learning Nash Equilibria in Zero-Sum Markov Games: A Single-Timescale Algorithm Under Weak Reachability
Reda Ouhamma, Maryam Kamgarpour
- Published: 17 Jun 2024, Last Modified: 23 Jul 2024
- FoRLaC Poster
- Readers: Everyone
A Policy Optimization Approach to the Solution of Unregularized Mean Field Games
Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh
- Published: 17 Jun 2024, Last Modified: 27 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Optimality of Stationary Policies in Risk-averse Total-reward MDPs with EVaR
Xihong Su, Marek Petrik, Julien Grand-Clément
- Published: 17 Jun 2024, Last Modified: 27 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Reinforcement Learning with Lookahead Information
Nadav Merlis
- Published: 17 Jun 2024, Last Modified: 05 Jul 2024
- FoRLaC Poster
- Readers: Everyone
The Value of Reward Lookahead in Reinforcement Learning
Nadav Merlis, Dorian Baudry, Vianney Perchet
- Published: 17 Jun 2024, Last Modified: 05 Jul 2024
- FoRLaC Poster
- Readers: Everyone
A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
NEORL: Efficient Exploration for Nonepisodic RL
Bhavya Sukhija, Lenart Treven, Florian Dorfler, Stelian Coros, Andreas Krause
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems
Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi
- Published: 17 Jun 2024, Last Modified: 24 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Adaptive Experimental Design for Policy Learning: Contextual Best Arm Identification
Masahiro Kato, Kyohei Okumura, Takuya Ishihara, Toru Kitagawa
- Published: 17 Jun 2024, Last Modified: 27 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Tight Bounds for Online Convex Optimization with Adversarial Constraints
Abhishek Sinha, Rahul Vaze
- Published: 17 Jun 2024, Last Modified: 04 Jul 2024
- FoRLaC Poster
- Readers: Everyone
CPeSFA: Empowering SFs for Policy Learning and Transfer in Continuous Action Spaces
Yining LI, Tianpei Yang, Wei Guo, Jianye HAO, YAN ZHENG
- Published: 17 Jun 2024, Last Modified: 29 Jun 2024
- FoRLaC Poster
- Readers: Everyone