Co-occurring keywords · papers mentioning both
Papers
Deep Metric Learning With Chance Constraints
WACV 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes
NeurIPS 2024
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
ICML 2023
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning
L4DC 2023
Multi-Unit Auctions for Allocating Chance-Constrained Resources
AAAI 2023
RADIUS: Risk-Aware, Real-Time, Reachability-Based Motion Planning
RSS 2023
Adaptive Stochastic MPC under Unknown Noise Distribution
L4DC 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
ICML 2022
Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
IJCAI 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control
L4DC 2022
Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty
L4DC 2020
Optimization of Chance-Constrained Submodular Functions
AAAI 2020
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics
L4DC 2020
Approximability of Constant-horizon Constrained POMDP
IJCAI 2019
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
JMLR 2018
Experience-driven Predictive Control with Robust Constraint Satisfaction under Time-Varying State Uncertainty
RSS 2017