conftrace_

safe reinforcement learning

120 papers

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Also known as

SAFERL SRL SAFE RL

Co-occurring keywords

policy optimization (657) constraint satisfaction (294) safety constraint (69) constrained markov decision process (56) markov decision process (790) constrained optimization (281) policy learning (702) offline reinforcement learning (492) policy gradient (520) reinforcement learning (4352)

Papers

Safe Reinforcement Learning for Trustworthy AI: Theory, Algorithms, and Applications AAAI 2026
Proactive Constrained Policy Optimization with Preemptive Penalty AAAI 2026
CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract) AAAI 2026
Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026
Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement ACL 2026
Specification-Guided Reinforcement Learning AAAI 2026
Probabilistic Shielding for Safe Reinforcement Learning AAAI 2025
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025
Offline Safe Reinforcement Learning Using Trajectory Classification AAAI 2025
Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning IJCAI 2025
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning IJCAI 2025
Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning AAAI 2025
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NIPS 2024
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024
Gradient shaping for multi-constraint safe reinforcement learning L4DC 2024
State-wise safe reinforcement learning with pixel observations L4DC 2024
Generalized constraint for probabilistic safe reinforcement learning L4DC 2024
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning AAAI 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes NIPS 2024
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024