ICML 2024 Workshop RLControlTheory Submissions

Reinforcement Learning with Quasi-Hyperbolic Discounting
Eshwar S R, Nibedita Roy, Gugan Thoppe
- Published: 17 Jun 2024, Last Modified: 28 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Non-Linear $H_\infty$ Robustness Guarantees for Neural Network Policies
Daniel Urieli
- Published: 17 Jun 2024, Last Modified: 28 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments
Tuan Quang Dam, Brahim Driss, Odalric-Ambrym Maillard
- Published: 17 Jun 2024, Last Modified: 26 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Learning When to Trust the Expert for Guided Exploration in RL
Felix Schulz, Jasper Hoffmann, Yuan Zhang, Joschka Boedecker
- Published: 17 Jun 2024, Last Modified: 26 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Bridging Distributional and Risk-Sensitive Reinforcement Learning: Balancing Statistical, Computational, and Risk Considerations
Hao Liang
- Published: 17 Jun 2024, Last Modified: 25 Jul 2024
- FoRLaC Poster
- Readers: Everyone
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds
Taira Tsuchiya, Shinji Ito
- Published: 17 Jun 2024, Last Modified: 28 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Safe online nonstochastic control from data
Sebastian Kerz, Armin Lederer, Marion Leibold, Dirk Wollherr
- Published: 17 Jun 2024, Last Modified: 22 Jul 2024
- FoRLaC Poster
- Readers: Everyone
A Variational Formulation of Reinforcement Learning in Infinite-Horizon Markov Decision Processes
Tim G. J. Rudner
- Published: 17 Jun 2024, Last Modified: 26 Jul 2024
- FoRLaC Poster
- Readers: Everyone
DARE: The Deep Adaptive Regulator for Control of Uncertain Continuous-Time Systems
Harrison Waldon, Fayçal Drissi, Yannick Limmer, Uljad Berdica, Jakob Nicolaus Foerster, Alvaro Cartea
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Certifying robustness to adaptive data poisoning
Avinandan Bose, Madeleine Udell, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham
- Published: 17 Jun 2024, Last Modified: 27 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Exploring Integrality Grip for Mixed-integer Programming by MCTS Planning
Defeng Liu
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Power Mean Estimation in Stochastic Monte-Carlo Tree Search
Tuan Quang Dam, Odalric-Ambrym Maillard, Emilie Kaufmann
- Published: 17 Jun 2024, Last Modified: 21 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
Cameron Allen, Aaron T. Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael Littman, George Konidaris
- Published: 17 Jun 2024, Last Modified: 21 Jul 2024
- FoRLaC Poster
- Readers: Everyone
The Minimax Regret of Sequential Probability Assignment, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
Ziyi Liu, Idan Attias, Daniel M. Roy
- Published: 17 Jun 2024, Last Modified: 27 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Multiple-policy Evaluation via Density Estimation
Yilei Chen, Aldo Pacchiano, Ioannis Paschalidis
- Published: 17 Jun 2024, Last Modified: 27 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
Ziyi Liu, Idan Attias, Daniel M. Roy
- Published: 17 Jun 2024, Last Modified: 27 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Pink Noise LQR: How does Colored Noise affect the Optimal Policy in RL?
Jakob Hollenstein, Marko Zaric, Samuele Tosatto, Justus Piater
- Published: 17 Jun 2024, Last Modified: 01 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Neural Dueling Bandits
Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low
- Published: 17 Jun 2024, Last Modified: 26 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Safe Reinforcement Learning with Contrastive Risk Prediction
Hanping Zhang, Yuhong Guo
- Published: 17 Jun 2024, Last Modified: 28 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Optimistic Information Directed Sampling
Gergely Neu, Matteo Papini, Ludovic Schwartz
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Bandits with Preference Feedback: A Stackelberg Game Perspective
Barna Pásztor, Parnian Kassraie, Andreas Krause
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
Model Based Diffusion for Trajectory Optimization
Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
Motahareh Sohrabi, Juan Ramirez, Tianyue H. Zhang, Simon Lacoste-Julien, Jose Gallego-Posada
- Published: 17 Jun 2024, Last Modified: 05 Jul 2024
- FoRLaC Poster
- Readers: Everyone
Hybrid Recurrent Models Support Emergent Descriptions for Hierarchical Planning and Control
Poppy Collis, Ryan Singh, Paul Kinghorn, Christopher Buckley
- Published: 17 Jun 2024, Last Modified: 22 Jul 2024
- FoRLaC Poster
- Readers: Everyone
When is Mean-Field Reinforcement Learning Tractable and Relevant?
Batuhan Yardim, Artur Goldman, Niao He
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- FoRLaC Poster
- Readers: Everyone