Papers
WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning
Ali Baheri, Zahra Shahrooei, Chirayu Salgarkar
Domain Randomization is Sample Efficient for Linear Quadratic Control
Tesshu Fujinami, Bruce D. Lee, Nikolai Matni et al.
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
Cevahir Koprulu, Po-Han Li, Tianyu Qiu et al.
Computing Quasi-Nash Equilibria via Gradient-Response Schemes
Zhuoyu Xiao, Uday V. Shanbhag
Contingency Constrained Planning with MPPI within MPPI
Leonard Jung, Alexander Estornell, Michael Everett
Learning with contextual information in non-stationary environments
Sean Anderson, Joao P. Hespanha
Deep Source-Seekers with Obstacle Avoidance: Adaptive Hybrid Control with Transformers In-The-Loop
Xiyuan Zhang, Daniel Ochoa, Regina Talonia et al.
Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes
Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Tian Lan et al.
Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments
Yuxi Wang, Peng Wu, Mahdi Imani
Predictive Monitoring of Black-Box Dynamical Systems
Thomas A. Henzinger, Fabian Kresse, Kaushik Mallik et al.
Diffusion Predictive Control with Constraints
Ralf Römer, Alexander von Rohr, Angela Schoellig
Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
Tzu-Yuan Huang, Armin Lederer, Nicolas Hoischen et al.
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
Jun Wang, Hosein Hasanbeig, Kaiyuan Tan et al.
Robust Inverse Reinforcement Learning Control with Unknown States
Bosen Lian, Wenqian Xue, Nhan Nguyen
Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching
Xiaoshan Lin, Sadik Bera Yuksel, Yasin Yazicioglu et al.
Efficient Duple Perturbation Robustness in Low-rank MDPs
Yang Hu, Haitong Ma, Na Li et al.
Analytical Integral Global Optimization
Sebastien Labbe, Andrea Del Prete
Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions
Chenggang Wang, Xinyi Wang, Yutong Dong et al.
A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks
Murad Dawood, Ahmed Shokry, Maren Bennewitz
DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
Michael Cummins, Alberto Padoan, Keith Moffat et al.
Adaptive Control of Positive Systems with Application to Learning SSP
Fethi Bencherki, Anders Rantzer
Responding to Promises: No-regret learning against followers with memory
Vijeth Hebbar, Cedric Langbort
Stochastic Real-Time Deception in Nash Equilibrium Seeking for Games with Quadratic Payoffs
Michael Tang, Miroslav Krstic, Jorge Poveda
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage
Kishan Panaganti, Zaiyan Xu, Dileep Kalathil et al.
Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs
Jayanth Bhargav, Shreyas Sundaram, Mahsa Ghasemi