Co-occurring keywords · papers mentioning both
Papers
Constraint-Aware Reinforcement Learning via Adaptive Action Scaling
L4DC 2026
Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization
UAI 2026
Omniprediction with Long-Term Constraints
COLT 2026
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
AAAI 2026
SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy
UAI 2026
Truly Adapting to Adversarial Constraints in Constrained MABs
COLT 2026
Universal Dynamic Regret and Constraint Violation Bounds for Constrained Online Convex Optimization
ALT 2026
An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints
ICML 2025
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
AISTATS 2025
Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract)
AAAI 2025
Causal Logistic Bandits with Counterfactual Fairness Constraints
ICML 2025
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization
L4DC 2025
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint
AAAI 2025
Extreme Value Policy Optimization for Safe Reinforcement Learning
ICML 2025
MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game
IJCAI 2025
Online Learning in Risk Sensitive constrained MDP
ICML 2025
On the Power of Optimism in Constrained Online Convex Optimization
IJCAI 2025
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
AISTATS 2025
Revisiting Projection-Free Online Learning with Time-Varying Constraints
AAAI 2025
Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
AISTATS 2025
Safety Representations for Safer Policy Learning
ICLR 2025
SysBench: Can LLMs Follow System Message?
ICLR 2025
Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints
ICML 2025
Constrained Reinforcement Learning Under Model Mismatch
ICML 2024
Do no harm: A counterfactual approach to safe reinforcement learning
L4DC 2024