conftrace_

constraint violation

39 papers

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CV

Co-occurring keywords

regret bound (1926) online convex optimization (165) constrained markov decision process (56) constrained optimization (281) primal-dual algorithm (72) constraint satisfaction (294) online learning (1777) lyapunov optimization (6) primal-dual method (58) sublinear regret (88)

Papers

Safe Multi-agent Reinforcement Learning with Natural Language Constraints AAAI 2026
Universal Dynamic Regret and Constraint Violation Bounds for Constrained Online Convex Optimization ALT 2026
On the Power of Optimism in Constrained Online Convex Optimization IJCAI 2025
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint AAAI 2025
Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract) AAAI 2025
MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game IJCAI 2025
Revisiting Projection-Free Online Learning with Time-Varying Constraints AAAI 2025
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm NIPS 2024
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints NIPS 2024
Multi-Agent Learning in Contextual Games under Unknown Constraints AISTATS 2024
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints NIPS 2024
Multi-armed bandits with guaranteed revenue per arm AISTATS 2024
Safe online convex optimization with multi-point feedback L4DC 2024
Do no harm: A counterfactual approach to safe reinforcement learning L4DC 2024
Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework COLT 2024
Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations NIPS 2023
Gradient-Variation Bound for Online Convex Optimization with Constraints AAAI 2023
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond NIPS 2022
A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints ICML 2022