Co-occurring keywords · papers mentioning both
Papers
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T-Regret
L4DC 2026
Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization
AAAI 2026
SAME: Safety-Aware Model Editing Guided by Safety Transformation
ACL 2026
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
ICLR 2025
C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning
ICML 2025
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
ICLR 2025
Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning
ICLR 2025
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
ICLR 2025
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
ICLR 2025
Learning Safety Constraints for Large Language Models
ICML 2025
Online Learning with Unknown Constraints
ICML 2025
Path Drift in Large Reasoning Models: How First-Person Commitments Override Safety
EMNLP 2025
Probabilistic Shielding for Safe Reinforcement Learning
AAAI 2025
Robust Transfer of Safety-Constrained Reinforcement Learning Agents
ICLR 2025
SafeBimanual: Diffusion-based trajectory optimization for safe bimanual manipulation
CoRL 2025
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
ICLR 2025
Safe-EF: Error Feedback for Non-smooth Constrained Optimization
ICML 2025
Safety-Prioritizing Curricula for Constrained Reinforcement Learning
ICLR 2025
A Survey of Constraint Formulations in Safe Reinforcement Learning
IJCAI 2024
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming
AAAI 2024
e-COP : Episodic Constrained Optimization of Policies
NeurIPS 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
ICML 2024
Feasible Reachable Policy Iteration
ICML 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes
NeurIPS 2024
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
AAAI 2024